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