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As a Machine Learning Engineer at Aurai, you play a key role in delivering scalable, reliable AI solutions. You ensure that machine learning models don’t stay stuck in notebooks, but actually deliver value in production.
You work closely with data engineers, data scientists, and consultants within our data team. Together, you build solutions that help organizations realize their data and AI ambitions. With your expertise, you elevate prototypes to a professional, production grade level and make AI solutions sustainable and future-proof.
In this role, you take ownership of the entire ML lifecycle, from setting up CI/CD pipelines and cloud environments to monitoring, retraining, and ensuring models remain compliant. You help clients bridge the gap between data engineering and AI, enabling them to achieve real, lasting success.
This Role Is a Great Fit If You
What’s in it for you?
Let’s connect. We’d love to welcome you at our Amsterdam office on Weteringschans for an introduction!
Apply now or reach out to [email protected]. We look forward to meeting you.
You work closely with data engineers, data scientists, and consultants within our data team. Together, you build solutions that help organizations realize their data and AI ambitions. With your expertise, you elevate prototypes to a professional, production grade level and make AI solutions sustainable and future-proof.
In this role, you take ownership of the entire ML lifecycle, from setting up CI/CD pipelines and cloud environments to monitoring, retraining, and ensuring models remain compliant. You help clients bridge the gap between data engineering and AI, enabling them to achieve real, lasting success.
This Role Is a Great Fit If You
- Thrive on variety, working on diverse projects across industries and client environments
- Enjoy bridging data engineering and AI, playing a central role in organizations’ digital transformation
- Want to have real influence on how AI and ML solutions are delivered end-to-end
- Like working in an environment where you continuously deepen and broaden your expertise using cutting-edge tools and technologies
- 3–5 years of experience in ML engineering and/or MLOps
- Strong skills in CI/CD, Docker, and Kubernetes
- Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
- Hands-on experience with cloud platforms (Azure, AWS, and/or GCP)
- A pragmatic communicator who enjoys working in multidisciplinary teams
- Fluency in Dutch and English, both spoken and written
What’s in it for you?
- The opportunity to play a key role in further building our MLOps capabilities.
- We offer extensive opportunities for professional growth, including a generous training budget, certifications, coaching, and clearly defined career progression paths.
- You will join a driven team of data experts, working from a vibrant offices in the heart of Amsterdam, with plenty of room for your ideas, initiative, and entrepreneurship.
- A healthy work–life balance is supported through hybrid working, 25 vacation days, holiday allowance, sports and social activities, and legendary team events.
- You can expect a competitive salary between €5,500 and €6,500, an excellent pension scheme, an NS Business Card, laptop, home-office allowance, and everything you need to perform at your best.
Let’s connect. We’d love to welcome you at our Amsterdam office on Weteringschans for an introduction!
Apply now or reach out to [email protected]. We look forward to meeting you.
Key Skills
Ranked by relevance
ai
cloud
cicd
machine learning
prototypes
tensorflow
pytorch
docker
mlops
aws
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- Posted
- Jan 08, 2026
- Type
- Full-time
- Level
- Entry
- Location
- Amsterdam
- Company
- Xomnia
Industries
Information Technology & Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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