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Machine Learning Engineer – Data & Analytics
Netherlands, Amsterdam (3 days per week in office)
€55,000 – €65,000 (depending on experience)
About the Role
We are seeking a Machine Learning Engineer to join a growing Data & Analytics team in Amsterdam. This is an exciting opportunity to work on cutting-edge ML, NLP, and AI projects in a collaborative, forward-thinking environment.
You will play a key role in bridging the gap between data science and architecture teams, turning research specifications into production-ready code, and deploying models in a cloud environment.
Responsibilities
- Develop and deploy machine learning and NLP models in a cloud-based environment (AWS).
- Build and manage end-to-end data pipelines, ensuring robust coding practices (e.g., GitHub, CI/CD).
- Collaborate with the architecture team to integrate models into production systems.
- Create data visualizations and reporting tools to present insights effectively.
- Work closely with data analysts and scientists to translate requirements into working solutions.
- Contribute to projects involving entity mapping, data extraction, and LLM fine-tuning.
Your Profile
- Degree in Computer Science, Data Science, or a related field.
- Around 3 years of experience in ML engineering or data science.
- Strong programming skills in Python and experience with SQL.
- Experience with ML frameworks such as TensorFlow or PyTorch.
- Understanding of data modelling, statistics, and ML pipeline development.
- Hands-on experience with AWS or another cloud environment.
- Bonus: Experience in JavaScript-based data visualization and/or NLP / AI projects.
Who You Are
- Curious and collaborative, eager to learn and share knowledge.
- Proactive and solution-oriented, comfortable taking ownership of projects.
- Low-ego team player who can communicate ideas effectively in a flat, open culture.
Why This Role
- Work on impactful projects that combine data science, AI, and real-world business applications.
- Collaborate with a talented, international team.
- Take ownership of end-to-end ML development, from coding to deployment.
Interested?
Apply now to be part of a challenging and rewarding data-driven environment.
Key Skills
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