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