Senior ML/AI Engineer

Assignment description

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 engineer
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