Our client is enhancing their data platform (Databricks) with AI capabilities and are looking for a senior ML Engineer. The person they are seeking has experience from the whole ML chain including data → feature → model → deployment → monitoring.

The person does also have experience from cost consciousness – Dev, Deploy and Run vs. business value.

Skill requirements

• At least 5 years of experience building and maintaining production models and AI solutions
• Able to contribute to all parts of an AI solution
• Azure AI stack such as Azure AI services, Microsoft Foundry etc
• Strong Python skills
• Proficient in ML frameworks such as Tensorflow, PyTorch, MLlib and Scikit-Learn
• Hands on experience in designing and operating functions in Azure and Databricks
• Experienced with at least one MLOps tool (ideally MLFlow)
• Strong experience in one of NLP, computer vision, timeseries, anomaly detection with some experience in the others
• Experience with software engineering practices (version control, CI/CD, testing, etc.)



Nice to have:

• Experience with RAG systems
• Agentic systems and RPA
• PySpark/Apache Spark
• Event driven systems or streaming data
• Experience mentoring junior ML and Data engineers



We offer continuously. That means that we sometimes remove the assignments before deadline. If you are interested we recommend that you apply immediately.

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