20 beste vacatures voor de functie van (ml workflows engineering) in amsterdam, nh (nieuwe medewerkers gezocht)

Senior Data Scientist
DSG.AI —Amsterdam
- Fulltime
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MasORange —Amsterdam
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Elsevier —Amsterdam
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Moss —Amsterdam
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Senior Data Scientist

DSG.AI
Amsterdam

Nu solliciteren

Vacaturegegevens

Fulltime

Kwalificaties

TensorFlow
CI/CD
Azure
Doctor
Informatica
PyTorch
DevOps
Informatiesystemen
Google Cloud Platform
Master
SQL
Docker
Risicomanagement
GitHub
Zakelijke vereisten
AI
Python

Volledige vacaturetekst

Hybrid

Full-time

Competitive

About DSG.AI

DSG.AI helps ensure the reliability and trustworthiness of scaled AI, Generative AI, and Intelligent Agents. As part of our mission, we address both the risks associated with AI and the development of innovative AI technologies, including machine learning and generative AI.

About the Role

In today's fast-evolving AI landscape, DSG.AI seeks a Senior-Level Data Scientist who excels in both classical machine learning and generative AI workflows. This 'hands-on' role will involve working on high-impact projects focused on both AI risk management and advanced AI development.

This role involves building end-to-end ML pipelines, covering data preprocessing, feature engineering, and model validation, as well as LLM-centric tasks such as prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG). The position also leverages cutting-edge coding assistants (Cursor, Windsurf, VSCode Copilot) to accelerate development and maintain high productivity. You will translate business requirements into robust ML and LLM solutions, ensuring both statistical rigor and generative quality, while prototyping, deploying, and monitoring models in production.

Key Responsibilities

Classical ML: Develop regression, classification, clustering, and time-series forecasting models using scikit-learn, XGBoost, TensorFlow/PyTorch; conduct A/B tests and statistical analyses to validate performance

Generative AI: Craft and refine prompts; fine-tune transformer models (e.g., GPT, LLaMA); implement RAG pipelines with embedding search and reranking

Deployment & Monitoring: Wrap inference in RESTful APIs; set up MLOps workflows on AWS, Azure, or GCP; track data drift, latency, and cost metrics

Collaboration & Mentorship: Integrate AI coding assistants into team workflows; mentor junior data scientists and conduct code reviews to uphold best practices

Translate business requirements into robust ML and LLM solutions, ensuring both statistical rigor and generative quality

Prototype, deploy, and monitor models in production, partnering with data engineering and DevOps teams for seamless CI/CD integration

Requirements

Education: MSc or PhD in Computer Science, Information Systems, Data Science, or related field

Experience: 5–6 years in data science/ML roles with production deployments of both classical models and LLMs - a must

Experience in leading small to medium-sized data science teams is an advantage

Skills: Statistical analysis, hypothesis testing, prompt engineering, API development, and MLOps

Languages & Frameworks: Python, SQL, scikit-learn, TensorFlow, PyTorch

Cloud & MLOps: AWS SageMaker, Azure ML, GCP AI Platform, Docker (an advantage)

AI Coding Assistants: Experience with Cursor, Windsurf, GitHub Copilot in VS Code

How to Apply

To apply, please submit your resume and cover letter outlining your relevant experience and qualifications. We thank all applicants for their interest; however, we will contact only those selected for an interview.

Ready to Apply?

Send your application to: [email protected]

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Verfijn je zoekopdracht

(ml workflows engineering) vacatures in amsterdam, nh

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Ik wil de nieuwste vacature-alerts ontvangen voor de functie van (ml workflows engineering) in amsterdam, nh

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