Old applications

Motivation Letters

links

https://www.linkedin.com/in/subhaditya-mukherjee-a36883100/

http://github.com/subhadityamukherjee

PHD : Meaningfulness of work in human-AI collaboration: 29th Feb

https://www.academictransfer.com/en/337149/phd-position-on-meaningfulness-of-work-in-human-ai-collaboration/

PHD : Explainable Decision Making : 1st March

https://www.academictransfer.com/en/337070/phd-in-explainable-decision-making/

PHD : Semantics, Pragmatics, LLM : 3rd March

https://www.academictransfer.com/en/335817/phd-candidate-semantics-pragmatics-and-large-language-models/

PHD : FAIR Data for neuromuscular disease research : 28th Feb

https://www.academictransfer.com/en/337755/phd-candidate-fair-data-for-neuromuscular-disease-research/

PHD : AI For Uterine Cancer Diagnostics : 28th Feb

https://www.academictransfer.com/en/337545/phd-candidate-in-artificial-intelligence-for-uterine-cancer-diagnostics/apply/#apply
A promising new avenue in cancer research involves the use of artificial intelligence for enhanced diagnostics. Recent work, by our team, showed the first demonstration that AI can support and even enhance current diagnostics and risk assessment in endometrial carcinomas. These initial finding warrant follow-up, refinement and extensions into new questions.
world’s largest tumor tissue bank, comprising endometrial tumors from participants in the PORTEC studies. In this project you may also work on another uterine malignancy called uterine leiomyosarcoma, for which the team has secured a large dataset. The LUMC is equipped with the necessary computers, servers, and storage space to realize the plans of this project.
AI models based on microscopic images to predict molecular changes present in the tumor, anticipate the tumor’s response to treatment, and forecast the patient’s prognosis.
. You will also assess based on which image properties your developed AI models make predictions. These potentially unknown but significant tumor properties will be further molecularly investigated, contributing to a better understanding of uterine cancer.
· Experience in programming and affinity with machine learning and AI-driven computer models.

Ability to comprehend clinical issues.

· Willingness to contribute to improvements in the diagnostics and treatment of uterine cancer patients over the next four years

Dr. Tjalling Bosse, medical specialist, department of Pathology

telnr. +31 (0)71 526 66 21

T.Bosse@lumc.nl

PHD : Fairness of AI Software systems : 29th Feb

https://career5.successfactors.eu/sfcareer/jobreqcareer?jobId=22047&company=S003974031P#apply
Have a strong interest in data engineering and governance, machine-learning and deep-learning;
● Have excellent programming skills and be highly motivated, be rigorous and disciplined when developing algorithms and software according to high quality standards;
● Have good technical understanding of the statistical models used in data science and machine learning;
● Have knowledge of, or a willingness to familiarize themselves with, current research into machine learning for software engineering trustworthiness evaluation;
● Have a commitment to develop algorithms that analyze Big Data from software-defined infrastructures as well as AI application code;
● Prof. Willem Jan Van Den Heuvel W.J.A.M.v.d.Heuvel@jads.nl
● Prof. Damian A. Tamburri d.a.tamburri@tue.nl
ADE’s ROBUST program on Auditing for Responsible AI Software System (SAFE-GUARD), which is financed under the NWO LTP funding scheme with Deloitte as the key industry partner.
The overall objective of SAFE-GUARD is auditing of AI software, it may be further refined in the following more elaborated goal: “Explore, develop and validate novel auditing theories, tools, and methodologies that will be able to monitor and audit whether AI applications adhere in terms of fairness (no bias), explainability, and transparency (easy to explain), robustness and reliability (delivering same results under various execution environments), respect of privacy (respecting GDPR), and safety and security (with no vulnerabilities).”
The industrial setting of the deep involvement of Deloitte will balance the rigour with relevance and ascertain fit with societal requirements and trends, validation with industrial case studies.
Application software developers cannot train-, test- and deploy AI models independent of socio-political, ethical, cultural, and personal context. At the same time, data is not objective: it is inherently reflective of pre-existing social and cultural biases, thus implying that AI (and AI-induced applications) may lead to (unintended) negative consequences and inequitable outcomes in practical settings. This project will develop novel methodologies, including techniques and tools, that can be exploited during audit activity when detecting AI software bias, possibly predicting those conditions and recommending ways to triage them. These aspects render important aspects when developing trustworthy AI software.
We invite you to submit a complete application by using the ‘apply now’-button on this page. The application should include a:
●   Cover letter in which you describe your motivation and qualifications for the position.
●   Curriculum vitae, including a list of your publications and the contact information of three references.
●   Brief description of your MSc thesis and any potential scientific article you have published.
We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.
The Jheronimus Academy of Data Science (JADS) constitutes a unique concept in which an integrated approach to Data Science is created by combining the exact sciences of the Eindhoven University of Technology, with the social sciences of Tilburg University. JADS boasts three campuses at Tilburg, Eindhoven and ‘s Hertogenbosch. JADS Campus in ‘s Hertogenbosch revolves around research, education and valorisation on data entrepreneurship.
More information about JADS can be found at www.jads.nl.

Data Steward Real world data : 27th Feb

https://www.academictransfer.com/en/336774/data-steward-structuring-real-world-data/
https://www.radboudumc.nl/getmedia/f69744a1-9dfc-4c62-abc5-e2ace3ad9c21/sectorplan_application_form_general.aspx
We are looking for a solution-oriented data steward with experience in structuring, analyzing and integrating multimodal, longitudinal real-world data, who can work in teams to translate needs of healthcare providers and researchers into actionable solutions.
Proven interest in biomedical problems and drive to support research and innovation.
Familiar with the roles and responsibilities of data stewards.
Knowledge of implementing FAIR principles and data interoperability standards.
Experience with security and privacy aspects is a plus.
Setting up training for end users is a plus.
A proactive attitude, good written and oral communication skills, and be able to work effectively in an interdisciplinary team.
Prior experience with smartphone monitoring technology.
An interest in clinical applications of machine learning.
Dr. Andre Marquand, professo
structuring, analyzing, integrating, and interpreting real-world data, including questionnaire data, text, wearable, smartphone monitoring and imaging data as well as selecting and developing AI tools that facilitate these processes. You will also play a critical role in implementing FAIR principles, ensuring interoperability standards from different domains are aligned, and facilitating the implementation of standards prescribed by HealthRI and the European Health Data Space.
train end users in the use of AI tools to structure data and contribute to the Radboud Healthy Data program, which aims to unlock data from primary sources for research and health innovation.

Software engg, brain centre UMC : 3rd march, (but senior role I guess)

https://www.werkenbijumcutrecht.nl/vacatures/wetenschap-en-onderzoek/software-engineer-brain-center-umc-utrecht-2024-4425/solliciteer?utm_campaign=Mimir&utm_medium=Vacaturebank&utm_source=AcademicTransfer#apply
Registration and Imaging of Brain Systems (RIBS) lab of the department of Neurology and Neurosurgery of the UMC Utrecht
Brain-Computer Interface (BCI) projects where we develop implantable and wearable neural devices in people with severe paralysis, so they can control a computer directly with their brain signals
GitHub, Jira
UML, IoT, interfacing with 3rd party
(Mention Mind Affect)
Machine learning Lagos
translate research ideas to software requirements
. Available techniques include 256-channel EEG systems for intracranial (ECoG, SEEG) recordings, fMRI (1.5, 3 and 7T human Philips systems), 256-channel recordings in patients during awake neurosurgery and neurodevices with 4-128 electrodes implanted in people with Locked-in Syndrome
Julia Berezutskaya

Software Engineer Deep Learning : 25th Feb

https://jobs.tue.nl/en/vacancy/software-engineer-deep-learning-1040799.html?p_showpopup=true&utm_source=academictransfer&utm_medium=website&utm_campaign=academictransfer#apply
(HRServices.MCS@tue.nl)
Joaquin Vanschoren : j.vanschoren@tue.nl
team behind OpenML
seamless integration solutions that allow for the effortless exchange of deep learning models on OpenML and the wider open-source AI ecosystem (e.g HuggingFace), empowering researchers, students, and industry professionals alike. We’re looking for a candidate with robust programming skills, especially in Python, and (ideally) experience with deep learning frameworks like PyTorch and TensorFlow.
co-develop a library that enables effortless sharing (exporting and importing) of deep learning models from deep learning frameworks to OpenML servers, and organize benchmarking results online.
forefront of AI research and education
This position offers more than a conventional role; you won’t just be developing technology; your expertise will be instrumental in crafting tools and insights that guide the next wave of AI researchers, students, and practitioners.
Here’s to the crazy ones. The open science rebels.
The ones who believe that machine learning should be set free.
They’re not fond of the hype, and they have no respect for irreproducible results.
They believe that with openness, we can push the human race forward.
Because by combining the best data, tools, methods, and ideas,
we can change the world, together.

Hello Joaquin,

My name is Subhaditya, it is nice to meet you :)

I recently graduated with a masters in AI from the RUG (Groningen), and am now looking for a job in the Netherlands. I remember seeing the OpenML Github repo a while back and thinking it would be really cool to work with AI researchers with a love for open source. But I had just started my masters then, and somehow did not end up reaching out. So when I found this position while looking through Academic Transfer, I absolutely had to apply. I have been working with software engineering and AI for a few years now and I am very aware of the need for accurate benchmarks and sharing models efficiently. With so many people suddenly giving in to the AI hype, crafting tools that cater to the real problems of researchers trying to build AI, something like OpenML is even more relevant now. Given that, I would love to bring my experience to this position, while also hopefully learning a lot from your team there too.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI and data projects to life. My experience includes working with large datasets, building ML/DL models and pipelines and also sharing my knowledge with my peers in technical and non technical fields. I am quite good at using PyTorch / TensorFlow / Keras and have some experience with Flux.jl and Max as well. I am also familiar with the Hugging Face API / PyTorch lightning and the ONNX format. More than anything though, I am a programmer at heart. I have been an avid believer in open source ever since I started using linux almost seven years ago, and although I have a lot to learn, I do think that I am a good fit for this position. (Here is my Github - http://github.com/subhadityamukherjee)

This letter is getting a little long, but I did want to add that I would love to contribute to OpenML and bring about positive changes in the AI community going forward. So many people with not much AI experience are starting to enter this field, and perhaps we could help make their experience a lot smoother, while also promoting more open source research. I have no means of knowing how experienced the other candidates are, but I do hope you give me a shot!

PS. I still have my Zoekjaar visa till September, so I can start ASAP as well.

Kaiko

https://jobs.kaiko.ai/jobs/3514423-senior-software-engineer

FAIR Software eng radboud mc

research software engineer

unlock existing heterogeneous data using FAIR principles within Radboudumc and beyond.

Medical Imaging AI

international cloud setting

full impact pathway approach of exploration, development, and impactful implementation of healthcare AI.

Prevention and treatment of diseases require a lean approach to using this data. By making health-related research data better and more responsibly available to researchers, we can contribute even better to solutions for improving our health and healthcare.

FAIR data management, AI methods, education, ethical and legal considerations, social inclusion, data-governed communities, and scientific breakthroughs.

A degree in STEM or equivalent practical experience.
Demonstrable experience in building software in Python.
Developing and operating applications on at least one major cloud provider.
Knowledge of dev-ops practices, CI/CD, infrastructure as code, and data pipelines.
Experience with integrating with 3rd party APIs.
Knowledge of FAIR principles and implementation.
Experience with setting up training for end users.

Preferred Qualifications

Practical experience with DICOM and HL7 FHIR.
Knowledge of EPIC and Amazon Web Services (S3, Dynamo DB, RDS, HealthImaging, HealthLake, Lake Formation, Redshift, Glue, Kenesis, and SageMaker).

Radboudumc? Then email to James Meakin, teamleader RSE.

Hello! (I want to say James, but I am not sure)

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am now looking for a job in the Netherlands. As a software engineer with an interest in healthcare and experience in AI, the FAIR RSE position seemed like the perfect next step for me, and I did not want to miss out on applying for it. Having been working on computer vision for a few years now, I am very aware of the need for better data management, especially for complex and privacy oriented workflows. I would love to bring this experience to DIAG, while also hopefully learning a lot from the team there too.

I have a masters in AI (with my thesis being on Explainable AI) and that also brought me experience with setting up training and also the FAIR principles. More importantly though, using AI in healthcare has been my motivation for many years now, and one of the reasons I got into the field in the first place. That being the case, I feel like I am in a better position compared to general software engineers in understanding what is required and why.

This letter is getting a little long, but I did want to add that I would love to contribute to your team’s mission of making Radboud UMC the best campus for AI research, and in turn helping a lot of researchers get their work done faster and more responsibly. I do hope you give me a shot :)

Best,

Subhaditya Mukherjee

Booking

https://jobs.booking.com/careers/job/562949958762711?utm_source=linkedin&utm_medium=jobposting&domain=booking.com

Bynder

https://careers.bynder.com/openings/5001799004-senior-machine-learning-engineer-amsterdam/

KPN

Lorvile12$#

Databricks

https://www.databricks.com/company/careers/field-engineering/pre-sales-solutions-architect-data—ai-7044417002?gh_jid=7044417002&gh_src=62a881d62

Zander

https://jobs.zanderlabs.com/o/project-administrator-2

AH

Northpool

careers@northpool.nl

dashboards, models and databases

trading desks are supported by the Operations, Data & Analytics department, which also includes our Data Engineers.

Coaching/transfering knowledge

Data Scientists and Analysts can use it to build models and tools.

data flows are set up as optimally as possible, monitoring the quality of the data and creating the conditions for the team of Data Engineers to be self-reliant

Python, including OOP

Linux, bash

SQL, Docker, Azure

Interest in trading energy

energy transition

But the more countries rely on wind, water and sunlight to power their grids, the better Northpool gets at anticipating the weather and planning for uncertainties – and opportunities.

Hello!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about Northpool while looking for companies in the Netherlands that work on sustainable energy with a focus on data science. The work your team is doing is really interesting, and as someone interested in energy trading and sustainable energy, I had to reach out. I am currently looking for an AI role in the NL and I would love to discuss the possibility of any such roles at Northpool.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI and data projects to life. My experience includes working with large datasets, building ML/DL models and pipelines and also sharing my knowledge with my peers in technical and non technical fields. I am quite proficient at Python, OOP, Bash, linux scripting and the Data/MLOps stack. I am also familiar with Docker and Azure and using them to create end to end services. I would love to bring this experience to your team while also learning more about the energy trading industry.

While I am not sure what kind of roles exist at the moment, I am open to any AI/Machine Learning positions that you may have. I’ve also attached my resume to this email as a little more background if that helps. If you are hiring or will be soon, I would love to have a chat!

PS. I can’t help but being interesting in the learning and social opportunities Northpool offers :)

Nmbrs

https://nmbrs.recruitee.com/o/ai-developer
sales@nmbrs.com
Knowledge Assistant
covering all the rules and regulations regarding HR and Payroll.
self-driving payroll application.
newest AI technologies
Python, Large Language Models, Azure
Enjoy starting projects from scratch
Exchange, growth

Hello!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about Nmbrs from Linkedin and was drawn to the very interesting problem your team is trying to solve as part of the HR service. Creating a Knowledge Assistant powered by LLMs sounds like the kind of work I would love to contribute to, and I had to reach out. I am currently looking for an AI role in the NL and I would love to discuss the possibility of any such roles at Nmbrs.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. My experience includes working with large datasets, building ML/DL models and pipelines and planning their deployment in production. I am quite proficient at Python and am comfortable with building large language models from scratch and also using Azure technologies. I am also familiar with the MLOps stack and working on an end to end service using AI. I would love to bring this experience to your team while also learning more about the HR service industry.

PS. I can’t help but also being interested in the four day workweek and the summer events. :)

Sennder

https://www.sennder.com/open-positions/7119550002-staff-machine-learning-engineer
digital freight forwarder with a data-centric problem-solving approach
best-in-class predictive analytics services while approaching ML Engineering in an holistic, end-to-end fashion
Every day, we acquire 3M+ new real-time data points
pricing optimization, load-to-carrier recommendation, load search and logistics network optimization, among others
health and performance monitoring tools (MLOps) of data pipelines and the machine learning services in production
Python, CI/CD, Git
MLOps
Jupyter Notebook, MLflow, Docker, Flask, DVC
Weights & Biases, Ray
Paper in ISR , Springer journal

Hello!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about Sennder from Linkedin and was very interested in the work your analytics division does. Monitoring and analyzing millions of real time data points in real time sounds like a really interesting challenge and I would love to contribute to future proofing the road logistics industry. I am currently looking for an AI role in the NL and I would love to discuss the possibility of any such roles at Seender.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. My experience includes working with large datasets, building ML/DL models and pipelines and planning their deployment in production. I am familiar with the MLOps stack and have experience with Docker, CI/CD, AWS etc. Along with that, I am also good at using tools like Jupyter Notebook, Weights and Biases, Ray etc and have a fair bit of experience in building pipelines end to end. I would love to bring this experience to your team while also learning more about the logistics industry.

(PS. I also just recently had a paper published in the Springer journal ISR - link.)

autoscriber

loens and Loeff

Sounds like a job for you? Submit your application via ‘apply’ button. If you have any questions about the role, please contact Luna Staal (Recruitment Adviser) Luna.staal@loyensloeff.com. We are looking forward to your application!

clockworks

careers@clockworks.co

THUAS

Senior Researcher AI and Data Science

job post

De Haagse Hogeschool

Nederland

The application deadline is Wednesday 14th of February, you can apply directly online on the website of THUAS;
The interviews will take place in the week 8 or 9 2024;
You can get in depth information about the vacancy via e-mail to Jered Vroon (Central Coordinator AI, j.h.vroon@hhs.nl);
Do you want more information on the application process? Then contact Maurice van Venetiën at Resourcing on +31 (0)6 42513237 or via e-mail: vacatures@hhs.nl

DataSnipper

Essent

Apollo solutions

Creative fabrica

https://boards.eu.greenhouse.io/creativefabrica/jobs/4235303101?source=LinkedIn

Pttrns.ai

MeMo2

Nmbrs

Gradient

Rabobank person

Picnic

Cooder

Bridge Fund

Decathlon

Kaizo

https://kaizo.recruitee.com/o/senior-data-scientist-2

AI/ML and NLP.
We’re leveraging cutting-edge AI technologies to improve operational efficiency, enhance team performance, and provide unparalleled performance visibility.
Our team is at the forefront of developing AI systems that are not only scalable, affordable, and interpretable but also flexible and empowering
Scalability Quest: Processing approximately 10 tickets per second requires solutions with lightning-fast inference speeds. We’re working on LLMs that match GPT’s accuracy but operate at an unparalleled speed.
Cost Efficiency Mandate: Dealing with large ticket volumes requires economically feasible solutions that do not scale linearly in terms of cost with the expected volume. We’re on a mission to optimize efficiency and resource utilization.
Accuracy Triumph: Our compliance engine aims for maximum accuracy while maintaining a conservative approach to predictions.
Data Privacy Conundrum: The presence of sensitive PII in our customers’ data adds a layer of complexity. We’re addressing the challenge of fine-tuning models on raw data while upholding the highest standards of data privacy and security.
Data Diversity Voyage: Dealing with diverse data formats, from text and raw speech to metadata and tabular data, presents its own set of challenge
NLP and NLG using state-of-the-art methods
Improving and extending the features used by our existing systems
Processing, cleaning, and aggregating data used for analysis
Performing ad-hoc analysis and presenting results in a clear manner
Creating automated systems and constantly tracking their performance
Building and optimising prediction systems using open source and proprietary LLMs
Collaborating with other team-members within the company to drive product development
Communicating results and ideas to key decision makers
Experimenting with different tools and technologies, and evaluate new data science approaches for the business
data science toolkits, such as Pandas, Numpy, Matplotlib, Scikit-learn and Jupyter Notebooks
Experience with one of the following: Tensorflow, PyTorch, or any other deep learning/machine learning framework
Experience with data visualisation tools, such as Dash, Seaborn, D3, etc
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills using Python
Familiarity with MLOps is a huge advantage.
Experience in using one or more of the following tools and technologies is a plus: Google Cloud Platform, Github, Docker, Kubernetes, MongoDB, ElasticSearch
Data-oriented personality
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques
Being part of an early stage startup, we sometimes need you to wear multiple hats just to keep things going, hence being a team player is a must have.

Kepler Vision

——————————————————————————————————————————————————————————————————

Deeploy

https://www.deeploy.ml/

info@deeploy.ml

stay in control of your ML models

Responsible & explainable MLOps

Support deployments with local and global explainers
Add custom explainers tailored to your end-users
Have experts weigh in and give feedback on model decisions
Use the collected feedback to continuously improve model performance
Full model documentation & model cards
Compliance and best practices checklists before and after deployment
Ci/cd
NiceDay : mental healthcare platform in the Netherlands, helping therapists treat clients more effectively and ultimately strengthening the mental wellbeing of as many people as possible.AI system in place that analyzes the data imputed by therapists and then provides summarized information for therapists to determine when and to which clients to reach out to.
client data must be anonymized and confidential during the developmental phase of the AI systems and stored with care after deployment.
building and enhancing monitoring, explainabilty and scalability of AI models in production.
Human in the loop
Nilay : NLAIC conference

Hello!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about Deeploy from the NLAIC website, and then from one of your colleagues - Nilay, who I met at an AI event in Amsterdam. My masters thesis was an XAI project, and when I saw how much your team works on that, I had to give it a shot. I am currently looking for an AI role in the NL and I would love to discuss the possibility of any such roles at Deeploy.

My experience is a combination of AI and Data Analytics, with an extra interest in XAI. I am good at setting up and tuning open source models across all levels. Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I am also quite familiar with AI libraries like PyTorch and Tensorflow along with MLOps tools. I have worked quite extensively with Neptune, Tensorboard and Docker for many years as well. Given a chance, I would love to bring this experience to continue building responsible and explainable AI at Deeploy.

While I am not sure what kind of roles exist at the moment, I am open to any AI/Data Science related position. I’ve also attached my resume to this email as a little more background if that helps. If you are hiring or will be soon, I would love to have a chat!

Quin

ML ENGINEER ALSO APPLY
https://www.quin.md/vacatures/4142375101/sr-dev-ops-engineer-0-0
A Kozma <a.kozma@quin.md>

Andrew at a.kozma@quin.md

Craft, implement, and fine-tune machine learning algorithms, focusing on Retrieval-Augmented Generation and LLM.
Partner closely with medical specialists to translate their expertise into our AI engine.
Ensure seamless deployment, monitoring, and scalability of our ML models in production environments.
Champion robust ML-Ops practices, including continuous integration, continuous delivery, and automated testing for ML systems.
Collaborate with our tech team to construct a resilient, scalable infrastructure for our ML solutions.
Monitor model performance, ensuring real-time diagnostics and speedy troubleshooting.
Stay in the loop with the latest trends in AI, ML, and ML-Ops to continually push our boundaries.
Hold a Master’s/PhD in Computer Science, Machine Learning, or a related field.
Demonstrate hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and more.
Possess a solid grasp of ML-Ops, including tools like Kubernetes, Docker, Jenkins, or similar.
Proficient in Python and have experience with cloud platforms like AWS, Google Cloud, or Azure.
Exhibit the ability to design and implement robust, scalable ML infrastructure solutions.
Show exceptional problem-solving skills and an unwavering passion for continuous learning.

Hello Andrew,

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about Quin from Linkedin and was very interested in your AI-based health platform. Combining multiple data sources to provide a holistic and real-time view of a patient’s health sounds like a rather challenging and useful problem to solve, and I’d love to contribute to your mission of future-proofing Healthcare. I am currently looking for an AI role in the NL and I would love to discuss the possibility of any such roles at Quin.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. My experience includes working with large datasets, building ML/DL models (Both LLM and Computer vision) and deploying them in production. I have also worked with the MLOps stack and have experience with Docker, CI/CD, AWS and of course, a large part of the Deep Learning stack. I am quite familiar with AI libraries like PyTorch and Tensorflow and have created many projects using them. I would love to bring this experience to continue building on the AI engine your team is working on and also constantly learning about what’s new in the field.

ValueBlue

dan.bersagui@valueblue.com

Hello Dan!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I recently found out that you were hiring from LinkedIn and the phrase “Architects of Change” piqued my interest. I’ve heard about BlueDolphin before, and imagine my surprise when I saw that you also wanted to implement AI algorithms as well! I am currently looking for an AI role in the NL and I would love to discuss the possibility of any such roles at ValueBlue.

My experience is a combination of AI and Data Analytics. I am proficient in setting up and tuning open source models across all levels. Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I am quite familiar with AI libraries like PyTorch and Tensorflow along with MLOps tools. I have worked quite extensively with Neptune, Tensorboard and Docker for many years as well.

I am quite passionate about both the technical and human sides of AI. Being a department working on a lot of cross functional teams requires this mentality, and I think that I do bring this and more to the table.

Bright Cape

Lindsey van der Lans

l.vanderlans@brightcape.nl

Hello Lindsey!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about BrightCape from the NLAIC website and the first thing that caught my eye was SARA, the health assistant. It seems like your team works on some very interesting projects and I would love to discuss the possibility of any AI/Data Analytics roles at BrightCape.

My experience is a combination of AI and Data Analytics. Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I am familiar with deep learning libraries like PyTorch and TensorFlow along with the stack required to build Data Analysis pipelines and provide clients with the advice they need.

Add in the consultancy work your team does, and somehow, it seems to be a nice fit with both what I can offer, and what I want to do as a next step. I do think that my skills fit the kind of projects BrightCape does and that I bring something different to the table.

PS: I am already excited about a potential ski trip. :)

Duck Duck Goose

info@duckduckgoose.nl

deepfake detection essentially

Explainability

Neural network generalization capabilities

Synthesized audio detection

PyTorch or Tensorflow

computer vision

Contact Joris at joris@duckduckgoose.nl

Thrive Dynamic

Do you want to tackle some of the world’s toughest business challenges? Do you have what it takes to engineer the future

AI Experts
Machine Learning Engineers

AI is inspired by people, created by people, and transforming industry like no technology before it.

Human centric

We are minimalists at heart. We move fast, because we don’t waste time solving problems; we exploit opportunities that help our partners focus on the job-to-be-done.

industry 4.0

info@thrivedynamic.com

axveco

Open Sollicitatie - AI

Hello!

This is Subhaditya. I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. While looking at your website, I found quite a lot of awesome projects (like the medical object recognition one) that made me quite interested in working at Axveco. I am currently looking for an AI role in the NL and I would love to discuss the possibility of any such roles with you.

My experience is a combination of AI, Computer vision and Data Analytics. Over the past few years, I have worked with many clients (both freelance/part time and in internships) and helped them bring their AI projects to life. I am also quite familiar with the ins and outs of Deep Learning, NLP and image processing. Along with my technical knowledge, I enjoy helping clients define their vision and guiding them towards it. These are all tasks that you do, and so I think that I might be a good fit at Axveco.

While I am not sure what kind of roles exist at the moment, I am open to any AI/Data Science related position. I am quite interested in working as part of a high performance team and the possibility of defining my own roles as well as growing my skills seems like a nice cherry on top as well. I’ve attached my resume to this email as well.

Looking forward to your reply,

https://www.axelera.ai/careers/

Open Sollicitatie - AI

Hello!

This is Subhaditya. I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. While looking at your website, I found out about the Metis platform and some of the work your team is doing on Edge AI. Being a computer vision developer myself, I am obviously very interested in working at Axelera. I am currently looking for an AI role in the NL and I would love to discuss the possibility of any such roles with you.

My experience is a combination of AI, Computer vision and Data Analytics. Over the past few years, I have worked with many clients (both freelance/part time and in internships) and helped them bring their AI projects to life. I am also quite familiar with the ins and outs of Deep Learning with a specialisation in Computer Vision. Along with my technical knowledge, what is more important is that I want to be part of your mission to democratise edge AI. I believe that this technology can lead to a lot of innovations in many fields, but without the right people, we will not be able to make AI for a green, fair and safe world. These are all tasks that you do, and so I think that I might be a good fit at Axelera.

While I am not sure what kind of roles exist at the moment, I am open to any AI/Data Science related position. I’ve attached my resume to this email as well.

Looking forward to your reply,

https://almende.com/research-and-development/innovation-domain/health/

Hello Jan!

This is Subhaditya. I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. While looking at your website, I found quite a lot of awesome projects (FoodFriend and VARUS were my favourites) that made me very interested in working at the Health domain at Almende. I noticed that in many projects your team mentioned they wanted to test out neural networks but did not. I am currently looking for an AI role in the NL and I would love to discuss the possibility of any such roles with you.

My experience is a combination of AI, Computer vision and Data Analytics. Over the past few years, I have worked with many clients (both freelance/part time and in internships) and helped them bring their AI projects to life. I am also quite familiar with the ins and outs of Deep Learning and how to apply them to a large variety of domains. Along with my technical skills, I love working on new projects, especially if they help people. These are all tasks that you do, and so I think that I might be a good fit at Almende.

While I am not sure what kind of roles exist at the moment, I am open to any AI/Data Science related position. I’ve attached my resume to this email as well.

Looking forward to your reply,

attendi

lennertjansen95@gmail.com

Hello Lennert!

This is Subhaditya. I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. While looking at the Attendi website, I found out about some of the work your team is doing on Speech AI. Along with being a good cause to work on, it sounds like Attendi is a great place to work at. I am currently looking for an AI role in the NL and I would love to discuss the possibility of any such roles with you. (I got your email from your personal website haha)

My experience is a combination of AI, and Data Analytics. Over the past few years, I have worked with many clients (both freelance/part time and in internships) and helped them bring their AI projects to life. I am also quite familiar with the ins and outs of Deep Learning and how to apply them to a large variety of domains. I have worked with LLMs and am also comfortable with PyTorch and Tensorflow. Along with my technical skills, I love working on new projects, especially if they help people. These are all tasks that you do, and so I think that I might be a good fit at Attendi.

While I am not sure what kind of roles exist at the moment, I am open to any AI/Data Science related position. I’ve attached my resume to this email as well.

Neolook Solutions

johan.thissen@gmail.com

Hello Johan!

Hope you are well.

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I heard about Neolook from one of my friends (she met you at a Hattrick event at the RUG) and found the premise very interesting. She mentioned that you also have ML/DL pipelines that you wanted to implement and research, which is why I thought I would drop you an email. I am currently looking for an AI position in the NL and I would love to discuss the possibility of any such roles with you.

My experience is a combination of AI and Computer Vision. Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I am quite familiar with DL libraries like PyTorch and Tensorflow along with implementing multi-modal models. Along with that, I am good at explaining concepts at a high level and have commercial experience in deploying ML applications.

I am quite interested in applying AI in healthcare, and when I saw that Neolook might give me a chance to do just that, I had to apply. While at the moment I have a lot to learn about neonatal healthcare, I am willing to do that. I am not queasy about walking through wards, and am comfortable with working alone and in teams as well.

While I am not sure what kind of roles exist at Neolook at the moment, I am open to any AI-related positions. I’ve attached my resume to this email as well. It would be awesome to have a chat with you Johan, I hope you give me a chance!

Atlasium Media

Amin Gorti

Hello Amin!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I am quite interested in the AI consultancy role you just posted, and would love to talk to you about it :)

ValueBlue

Dan Bersagui

Hello Dan!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I am quite interested in the AI role you just posted, and would love to talk to you and see if I could be a good fit for it.

Best,

ValueBlue

dan.bersagui@valueblue.com

Hello Dan!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found this position on LinkedIn and the phrase “Architects of Change” piqued my interest. I’ve heard about BlueDolphin before, and imagine my surprise when I saw that you also wanted to implement AI algorithms as well! I am currently looking for an AI role in the NL and I would love to be the one to start the ML department at ValueBlue.

BlueDolphin has been around for a while and I’m sure there is a lot of interesting data that was collected/obtained from public domains. This makes it all the more challenging and I am all for that.

I am quite passionate about both the technical and human sides of AI. Being a new department working on a lot of cross functional teams requires this mentality, and I think that I do bring this and more to the table.

I hope you give me a chance!

3D universum

info@3duniversum.com

Hello!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about 3DUniversum from Dr.Sezer when I met him at an event a while back. The work your team does is very much in line with my interests and experience and as I am currently looking for an AI position in the NL, I would love to discuss the possibility of any such roles at 3DUniversum.

I asked him if there were open roles, and he told me that the team was expanding and while most of your group is from UvA, I could give it a shot too.

My experience is a combination of Computer Vision and AI. Over the past few years, I have worked with many clients (both freelance/part time and in internships) and helped them bring their AI projects to life. I am familiar with deep learning libraries like PyTorch and Tensorflow and am proficient in Python as well. I have worked with Synthetic media creation, Efficient Deep Learning, Mobile/Edge AI as well as 3D Segmentation and Detection.

Dr.Sezer told me quite a bit about projects like Deep Therapy, WeScan and FairFake and it somehow seemed like 3DUniversum would be the perfect place for me to go next. I do think that I bring something different to the table in the domains that your team works in, and I hope you give me a chance.

While I am not sure what kind of roles exist at the moment, I am open to any AI/Data Science related position. I’ve also attached my resume to this email as a little more background if that helps. (My Github link is : http://github.com/SubhadityaMukherjee and I have attached my resume to this email as well.)

Birds.ai

info@birds.ai

Hello!

My name is Subhaditya. I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about Birds.ai from the NLAIC website and found some of the projects your team has done (like the CV-based solar panel inspection project). The work your team does is very much in line with my interests and experience, and I would love to discuss the possibility of any such roles at Birds.ai.

My experience is a combination of Computer Vision and Data Analytics. Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I am familiar with deep learning libraries like PyTorch and TensorFlow. I have worked with drone image segmentation, vision-based analysis for parts of the manufacturing pipeline and similar projects.

Add in the consultancy work your team does, and somehow, it seems to be exactly what I want to do as the next step in my career. I do think that my skills fit the kind of projects Birds.ai does and that I bring something different to the table.

While I am not sure what kind of roles exist at the moment, I am open to any AI/Data Science related position. I’ve also attached my resume to this email as a little more background if that helps.

Bright Cape

Onno Hofstee, o.hofstee@brightcape.nl

Hello Onno!

PS: I am already excited about a potential ski trip. :)

Kepler Vision , Internship

info@keplervision.eu

Hello!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about Kepler Vision from the NLAIC website, and saw that your team was looking for a software engineering intern. The Night Nurse software seems like a great project to start my career with and this email is my application for this position. I hope to get to learn a lot about how to be a good part of an engineering team, while also bringing my AI experience to the table.

While I don’t know what criteria you have in selecting an intern, this opportunity would be the absolute best next step for me. My main interests lie in Computer Vision, especially in using AI in healthcare. And somehow, this is exactly what this internship offers to teach? It would be such a miss if I did not try my best to get in.

My experience is a combination of AI and Computer Vision. Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. But, what I now need to learn is how to work on larger scale projects such as Night Nurse. I am quite good with Python, FastAPI, and AI frameworks like PyTorch and Tensorflow, but am not very familiar with Terraform or Typescript. I definitely want to learn them though! And this internship would be absolutely perfect.

I promise to put my best foot forward given a chance. I am quite a fast learning, and have a strong base in programming and AI. I hope you give me a shot.

PS. I have the Zuikjaar visa as well, valid for almost a year. So no issues there either.

Grwnxt

coen.hilbrands@grwnxt.com , info@grwnxt.com

Hello Coen!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about GrwNxt from the NLAIC website and was intrigued by the concept of GrwNxt Modules and how they could be used for reliably, combining Deep learning and plant science. I can imagine just how useful and scalable the technology would be, especially combined with AI and computer vision. The work your team does is very much in line with my interests and experience, and I would love to discuss the possibility of any such roles at GrwNxt.

My experience is a combination of AI and Computer Vision, which is something I see that your team works on as well. Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. Now that I have a masters in AI, I’m trying to find places I can contribute the most to, and I think GrwNxt fits quite well to that. From the presentation on your website, I see that the modules would use a lot of advanced data analytics combined with computer vision, which is what I am the most familiar with. I am proficient at using Deep learning libraries, such as PyTorch and Tensorflow and am comfortable with all stages of the AI pipeline. Since my main focus has always been Computer vision, I can help your team implement the advanced data analysis pipelines faster as well.

This project really interests me and while I am not sure what kind of roles you have at the moment, I am open to any AI/Data Science related position. Being able to contribute to the sustainable food revolution is such a good cause, and I would love to be a part of it.

I’ve also attached my resume to this email as a little more background if that helps. If you are hiring or will be soon, I would love to have a chat!

MindAffect

careers@mindaffect.nl

hearing & vision diagnostic

interpret a patient’s brain response to stimuli at a significantly enhanced speed to enable accurate, rapid and objective hearing/vision testing for all patient groups.

KinderCap

determines the level of effort used during a visual or auditory experience

3d hand tracking, gesture recog

data analysis pipelines to integration with EEG devices

Experience in basic neuroscience and/or EEG

Experience in vision or hearing

Hello!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about MindAffect from the NLAIC website and was intrigued by how your team combined multimodal inputs with the EEG devices. I remember starting a similar project in my bachelors, but then covid hit and it was not possible to continue it. It was a very interesting challenge though, and when I saw that your team was looking for Software Developers, I had to give it a shot.

My experience is a combination of AI and Computer Vision, which is something I see that your team works on as well. I have worked with EEG devices before, and taken a course in neuroscience in my masters as well. I’m comfortable with working on all stages of the process, from data pipelines to deploying models on low power devices such as the final system. I have been working with Python for many years now, and am quite familiar with using it for both general and ML purposes. I have also worked with analyzing both EEG and 3D data before. While I am not very familiar with developing user interfaces, I am willing to learn how to do that as well.

This project really interests me and while I am not sure what kind of roles you have at the moment, I am open to any AI/Data Science related position. Judging by the statistics on your website, MindAffect can change so many lives, and I would love to be a part of it.

I’ve also attached my resume to this email as a little more background if that helps. If you are hiring or will be soon, I would love to have a chat!

Klippa

Yeelen Knegtering (CEO & Co-founder)

yeelen@klippa.com

AI engineer

computer vision + NLP

data analyss, ML, docker sklearn tf, pytorch

heard about it around the RUG, and when I saw it on the NLAIC website, i decided to reach out

DocHorizon

prev exp - Adhaar card

Hello Yeelen!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I remember hearing nice things about Klippa a while back from someone in Cover. Now that I am done with my masters, I wanted to formally apply for the AI Engineer position at Klippa.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I find projects like DocHorizon very interesting and they also line up with my experience - a combination of Computer Vision and NLP. I’ve also worked with information extraction from ID cards as part of a freelance project, which helps too. I am good at using Deep learning libraries, such as PyTorch and Tensorflow and am comfortable with all stages of the AI pipeline. I am also quite comfortable with packages like Docker, sklearn etc and have used them for both large and small projects.

It’s always nice to see your seniors doing awesome work, even if you don’t really know them. I quite enjoyed my time at the RUG, and seeing that you started off there made me want to apply even more haha.

While I am not sure if this role is still available, I am open to any AI/Data Science related position. I’ve also attached my resume to this email as a little more background if that helps. If you are hiring or will be soon, I would love to have a chat!

ML6

Julie Plusquin , julie.plusquin@ml6.eu

business minded people with a consultative approach

healthcare, Vision

Accolade Wines

Stampix’ users through analysis of user-generated images

Hello Julie!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about ML6 from the NLAIC website and the first thing that caught my eye was the Stampix’ analysis project that your team did recently. I did a little more reading, and found so many interesting projects that I had to reach out. I think it’s very important to find a job that you would actually enjoy and that being the case, I would love to discuss the possibility of any AI/Data Analytics roles at ML6.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. My main experience is a combination of AI and Computer Vision, but I have worked across many domains and am quite comfortable with learning something new. I have been working with AI for a long time now, and am quite familiar with the stack - from libraries like PyTorch ,Tensorflow and sklearn to others like Git and Azure. Something that I think would be a good fit with both the ML6 agents and the Maffia :)

Aside from all the technical stuff, I quite enjoy consulting. Since I already have the programming background, it is also a lot easier for me to explain what goes behind making the projects requested by clients. And also guide them across the stages.

While I am not sure what roles are available at the moment, I am open to any AI/Data Science related position. I’ve also attached my resume to this email as a little more background if that helps. If you are hiring or will be soon, I would love to have a chat!

CreativeFabrica

Phd AI for parkinsons

yagmur.guecluetuerk@donders.ru.nl

Yagmur

has excellent programming skills in Python and experience with deep learning frameworks

video, time series

enthusiastic to collaborate with researchers from different disciplines, and to expand your knowledge about the medical context.

derive novel digital biomarkers from video and wearable sensor data

Personalized Parkinson Project

develop various deep learning and statistical machine learning models to capture important Parkinson symptoms, and to perform fusion of video-, audio- and wearable sensor data.

Make the developed AI tools available for the community.
Contribute to knowledge transfer by teaching activities.
Design and conduct scientific research in a stimulating, interdisciplinary environment
Develop various deep learning and statistical machine learning models to analyze video-, audio- and wearable sensor data, collected in large cohort studies.

Yagmur Güçlütürk, head of the Neural Engineering lab, supported by Michael Tangermann, head of the Data-driven Neurotechnology lab

For all clinical and applied AI aspects, the PhD student receives daily supervision from Luc Evers, Lab Manager of the AI for Parkinson Lab, supported by Prof. Bas Bloem, head of the Center of Expertise for Parkinson & Movement Disorders.

Hello Yagmur!

My name is Subhaditya, it’s nice to meet you :)

I recently graduated with a masters in AI from the RUG (Groningen), and am now looking for a position where I can bring my AI knowledge to healthcare. I found out about this position quite coincidentally a few hours ago, and I knew that I could not miss the chance to apply. There is a history of Parkinsons in my family and while I could do nothing about it as a kid, now I can help contribute to the research. So, here is my formal application to the PhD position :’ Artificial intelligence for monitoring of Parkinson’s disease’.

I read that a lot of data was collected over the last few years using a smartwatch and video in the hope of gaining insights that would potentially help a lot of people. Here is where I can contribute to the most. I am not a healthcare professional, and all these years there wasn’t any skill I could bring to the medical side of innovation. But now I have quite a bit of experience in both Computer Vision and Data Analysis. I am comfortable with using deep learning libraries, data analysis pipelines and python to create whatever is necessary for the project. My main skills lie in building these pipelines, analyzing data and subsequently using AI. Over the past few years, I have done many freelance projects, each of which has given me quite a bit of knowledge about using AI in different domains. I think that that knowledge will be useful here too.

I can use my AI skills to further accelerate research. Since I am familiar with the pipline, perhaps I can also help anticipate what might be needed for the future, and ensure we are a little more ready for that. I have also worked quite a bit with vision models and sensor data in past internships and personal projects, which is also useful experience.

Aside from the technical aspects, I love interdisciplinary research. No field is good on it’s own, AI even less so. But that being the case, I acknowledge my lack of information about medical terms. I do think that is an easy fix though, and I’m willing to put in the effort to learn that side as best I can. This position is the perfect next step for me, as someone who is trying to find a position that bridges the gap between a pure AI background to something more useful, healthcare. I read that your lab is part of the ICAI network as well, and Verity healthcare too. That’s so awesome and helpful.

I have done many projects and internships over the past few years, but for most of the time, it did not feel like my work amounted to anything. This is my shot at making it count, and helping make some lives a little better. I know I applied pretty late and you probably have a lot of applications already, but I hope you give me a chance!

——

yagmur.guecluetuerk@donders.ru.nl

Hello Yagmur!

My name is Subhaditya, it’s nice to meet you :) I just finished my masters in AI from the RUG and am now looking for a PhD position in the NL.

I found out about the PhD position ’ Artificial intelligence for monitoring of Parkinson’s disease’ a few hours ago and I knew I could not miss the chance to apply. The position is a perfect fit of what I want to do next, and where I can contribute my skills the most.

The reason for this email though, is a little embarrassing. It’s a Saturday morning, two days before the deadline. Which I know is super late. You probably now have a lot of candidates and I don’t know if you will even get to my application.

But honestly, I just found out about it. So I hope you give me a shot!

—

Bol, Data Scientist Traffic Product

exploration phase

ML/DL NLP

SQL

sklearn keras TF

Monika Myslinska, Recruiter

Job experience

mmyslinska@bol.com

Hello Monika,

It’s nice to meet you!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I have not only used bol.com but have also heard so many nice things about working there, and I recently saw that you were looking to hire a Data Scientist/AI Engineer. Working at Bol.com would be quite a nice start to my career here, and so I thought I would reach out to you.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I have a mix of experience - from Deep Learning (PyTorch/Tensorflow/Keras) to Data science and ML (sklearn, SQL) to NLP (LLMs). I have been working with AI for a long time now, and am quite familiar with the stack, something that I think would be a good fit at Bol.

I would love to work on a product that affects so many people, and promise to bring my best to any team. While I am not sure what roles are available at the moment, I am open to any AI/Data based position. I’ve also attached my resume to this email as a little more background if that helps. If you are hiring or will be soon, I would love to have a chat :)

Odido - Data scientist

Intelligence and Insights - diverse

improve fact-based decision making, launch better products and services and improve customer experience

Most of the time you will be working on building and deploying predictive models. No analysis will be simple.

deep knowledge of both data science

Python, sql, aws

git, docker

xgbosst, pandas, scikit-learn

Gen AI - llm, image gen

Pauline

+31681878260

pauline.koppe@t-mobile.nl

Hello Pauline,

It’s nice to meet you!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I have known of T-mobile(Odido) for many years now, and I recently saw that you were looking to hire a Data Scientist/AI Engineer.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I have a mix of experience - from ML (scikit-learn, xgboost, pandas) to advanced Gen AI (LLMs, Diffusion models) to the stack of Python, Git, Docker etc. I have been working with AI for a long time now, and am quite familiar with the stack, something that I think would be a good fit at Odido.

I love a good challenge, and getting to work on a product that will affect so many people is such a nice opportunity. While I am not sure what roles are available at the moment, I am open to any AI/Data based position. I’ve also attached my resume to this email as a little more background if that helps. If you are hiring or will be soon, I would love to have a chat!

Rabobank AI Strategist

designing and guiding the department’s AI strategy

You will oversee AI initiatives to ensure their alignment with the bank’s comprehensive strategy, consistently upholding compliance, legal, and risk standards to promote responsible and ethical AI practices.

leveraging transformational propositions using Large Language Models.

Cross-functional collaboratio

Ethical and compliance governance

Excellent ability to break down complex subjects into understandable terms for audiences with varying levels of expertise.

Contact Ante Ivancic (Head of AI Strategy), ante.ivancic@rabobank.com

Any questions about working at Rabobank and the process? Contact Contact Barbera Ammerlaan (recruiter), barbera.ammerlaan@rabobank.nl

Hello Ante,

It’s nice to meet you!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found the position a good fit for what I can offer and what I want to do next, and so this is my formal application for the AI Strategist position.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I have a mix of experience, ranging from consulting to building technical AI projects across domains. I believe that this experience makes me a good fit for this position, as not only can I map out the steps needed to arrive at an AI based product, I can also break it down across multiple levels of understanding. I have been working with AI for a long time now, and am quite familiar with the stack - from LLMs to GenAI to other advanced AI models. I also have an understanding of reinforcement learning and am pretty proficient in Python.

I understand just how deeply important ethically future proofing the baking system is. The world is moving ahead with AI, and if we do not keep up with the trend, it will move ahead without us. I hope to be part of that change at Rabobank, and help co-create strategies that help the workforce in the long run.

Hope to hear from you soon :)

Vinted

levi.vanlangeveld@vinted.com

Hello!

It’s nice to meet you!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I have not only used Vinted but have also heard so many nice things about working there, and so this is my formal application for the Analytics Engineer position.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. This has given me a strong understanding of data processing and data quality, across all stages of the pipeline. I am familiar with analyzing large datasets, designing data quality metrics and KPIs, and understanding cross domain requirements. I am also fluent in Python and SQL, and have experience in using Google Cloud.

Aside from my technical knowledge, I am quite interested in competitive intelligence and excited to work at a company that cares so much about second hand fashion.

Hope to hear from you soon :)

Digital Sundai

info@digitalsundai.com

AI/ML EXPERT

push the boundaries for our customers

demonstrate clients the art-of-the-possible and apply AI/ML technologies to create business benefits.

define their roadmaps and design use cases, but foremost you will be realizing these state-of-the-art cases.

Python

Experience in supervised, unsupervised and reinforcement learning approaches, designing and building data processing systems, designing, building and operating machine learning models and ensuring solution quality.

Hello!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found the AI/ML Expert position a good fit for what I can offer and what I want to do next, and so this is my formal application for the same.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I have a mix of experiences - from ML (scikit-learn, xgboost, pandas, Tensorflow, PyTorch) to advanced Gen AI (LLMs, Diffusion models) to the stack of Python, Google Cloud, Git, Docker etc. I have been working with AI for a long time now, and am quite familiar with the stack, something that I think would be a good fit in this position.

While I am not sure if this role is still available at the moment, I am open to any AI/Data Science related position. I’ve also attached my resume to this email as a little more background if that helps. If you are hiring or will be soon, I would love to have a chat!

Y.digital

Python programming experience (e.g., Github projects, higher-education coursework, previous work experience) is our main prerequisite.

linux command line

version control - git

docker, postman

agile

Spacy,NLTK

CNN,OpenCV

Politics Navigator

AI platform : Ally - more features.

Medior Python Developer for ML and AI

Ian FitzPatrick

email with a link to your LinkedIn profile to ian@y.digital

result@y.digital

Hello!

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about Y.digital from the NLAIC website, and was rather intrigued by some of the projects on the company website (like the Politics Navigator, Call Routing and others). My experience and interests match quite closely to what Y.digital does, and when I saw that your team was hiring for AI Developers, I had to give it a shot.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I have a mix of experiences - from the NLP/CV stack (Spacy, NLTK, CNNs, OpenCV) to the MLOps stack (Advanced git, docker, postman, bash) and am familiar with the agile methodology as well. As for the other requirements, I am also quite comfortable using the LInux command line (I have used Arch linux for years). In past projects, I have worked across a range of domains - from building an API with CV based plugins for Generative AI, to using LLMs for event parsing and many more. (Here is a link to my Github as well link.)

I am open to any AI based position, should you happen to be looking for someone. I have also attached my resume to this email as a little more background if that helps. If you are hiring or will be soon, I would love to have a chat!

Quantillion

people@quantillion.io

Hello,

My name is Subhaditya, I recently graduated with a masters in AI from the RUG (Groningen), and am looking for my next big challenge. I found out about Quantillion from Linkedin, and was rather intrigued by some of the projects on the company website (like the predictive simulations). My experience and interests match quite closely to what the Data science division at Quantillion does, and when I saw that your team was looking to hire AI Developers, I had to give it a shot.

Over the past few years, I have worked with many clients (both freelance/part-time and in internships) and helped them bring their AI projects to life. I have a mix of experiences - from the ML stack (Keras, Gym, SciPy, TensorFlow etc) to harder Deep Learning problems in Computer vision, to RL frameworks. I am quite comfortable with wrangling data and enjoy working in a multi disciplinary team as well. I have been working with AI for a long time now, and am quite familiar with the stack, something that I think would be a good fit in this position. I also have basic knowledge of JavaScript.

While I am not sure if this role is still available at the moment, I am open to any AI/Data based position as well. I’ve also attached my resume to this email as a little more background if that helps. If you are hiring or will be soon, I would love to have a chat!

Subhaditya's KB

Explorer

Old applications

Old applications

links

PHD : Meaningfulness of work in human-AI collaboration: 29th Feb

PHD : Explainable Decision Making : 1st March

PHD : Semantics, Pragmatics, LLM : 3rd March

PHD : FAIR Data for neuromuscular disease research : 28th Feb

PHD : AI For Uterine Cancer Diagnostics : 28th Feb

PHD : Fairness of AI Software systems : 29th Feb

Data Steward Real world data : 27th Feb

Software engg, brain centre UMC : 3rd march, (but senior role I guess)

Software Engineer Deep Learning : 25th Feb

Kaiko

FAIR Software eng radboud mc

Booking

Bynder

KPN

Databricks

Zander

AH

Northpool

Nmbrs

Sennder

autoscriber

loens and Loeff

clockworks

THUAS

DataSnipper

Essent

Apollo solutions

Creative fabrica

Pttrns.ai

MeMo2

Nmbrs

Gradient

Rabobank person

Picnic

Cooder

Bridge Fund

Decathlon

Kaizo

Kepler Vision

Deeploy

Quin

ValueBlue

Bright Cape

Duck Duck Goose

Thrive Dynamic

axveco

https://www.axelera.ai/careers/

https://almende.com/research-and-development/innovation-domain/health/

attendi

Neolook Solutions

Atlasium Media

ValueBlue

ValueBlue

3D universum

Birds.ai

Bright Cape

Kepler Vision , Internship

Grwnxt

MindAffect

Klippa

ML6

CreativeFabrica

Phd AI for parkinsons

Bol, Data Scientist Traffic Product

Odido - Data scientist

Rabobank AI Strategist

Vinted

Digital Sundai

Y.digital

Quantillion

Graph View

Table of Contents

Backlinks