Data scientist Azure Machine Learning

• Higher education in data science, econometrics, statistics, mathematics, physics, or related fields.
• Minimum 2 years' experience in MLOps, Machine Learning, or Data Engineering.
• Knowledge of cloud environments Azure and Microsoft ecosystem.
• Programming skills in Python.
• Knowledge of Git and CI/CD processes.
• Experience with SAS Viya, Azure ML, Databricks, Fabric, or similar analytics platforms.
• Knowledge of deployment, monitoring, and lifecycle management of models.
• Ability to analyze new technologies independently and propose business applications.

• Designing, building, and developing MLOps environments to support deployment, automation, and maintenance of Machine Learning models and decision engines.
• Developing, deploying, and monitoring processes covering the entire lifecycle of analytical models.
• Creating, evolving, and maintaining CI/CD processes and automating deployment of ML solutions following DevOps and MLOps best practices.
• Designing and implementing processes on cloud and analytics platforms (Azure, Fabric, SAS Viya).
• Analyzing development needs of the platform and implementing solutions to improve building of decision engines and predictive models, including integration of on-premise environments with cloud.
• Analyzing new cloud technologies and recommending their use in Machine Learning and AI architecture.

Coordination meetings in Warsaw approximately once a week are required.