Our client is enhancing their data platform (Databricks) with AI capabilities and are looking for a senior ML Engineer. They are seeking someone that has experience from the whole ML chain including data → feature → model → deployment → monitoring. They also have to 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