MLOps Specialist

Moondigo Sp. z o.o. is seeking an MLOps Specialist to join their project team dedicated to developing solutions involving Machine Learning, predictive models, and decision engines. The role includes supporting the integration of on-premise environments with the cloud and analyzing new cloud technologies for ML and AI applications.

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

• Design, create, and develop MLOps environments supporting deployment, automation, and maintenance of Machine Learning models and decision engines
• Develop, implement, and monitor processes covering the full lifecycle of analytical models
• Create, develop, and maintain CI/CD processes and ML deployment automation following DevOps and MLOps practices
• Design and implement processes on cloud and analytical platforms including Azure, Fabric, and SAS Viya
• Analyze platform development needs and design solutions improving decision engine and predictive model construction
• Develop solutions integrating on-premise environments with the cloud
• Analyze new cloud technologies and services and recommend their use in ML and AI architecture