MLOps Specialist (Data Science / Data Engineering)

Quick Facts

• Hybrid work model (at least 1 day per week on-site in Warsaw)

Description

You will design, build, and evolve MLOps environments that support deployment, automation, and ongoing maintenance of machine learning models and decision engines. The role includes end-to-end analytics model lifecycle processes, plus CI/CD and deployment automation following DevOps and MLOps best practices. You will work with cloud and analytics platforms (Azure, Fabric, SAS Viya) and help integrate on-prem environments with cloud.

Responsibilities

• Design, build, and develop MLOps environments for deploying, automating, and maintaining ML models
• Create, deploy, and monitor processes across the full lifecycle of analytics models
• Build and maintain CI/CD pipelines and deployment automation for ML solutions
• Design and implement cloud/analytics platform processes for MLOps (Azure, Fabric, SAS Viya)
• Assess platform development needs and implement improvements for building decision engines and predictive models
• Analyze new cloud technologies/services and recommend their use in ML/AI architectures

Requirements

• Higher education in data science, econometrics, statistics, mathematics, physics, or related fields
• At least 2 years of experience in MLOps, machine learning, or data engineering
• Knowledge of Azure cloud environment and Microsoft ecosystem
• Python programming skills
• Git and CI/CD process knowledge
• Project experience with SAS Viya, Azure ML, Databricks, Fabric, or similar analytics platforms
• Understanding of deployment, monitoring, and model lifecycle management

Benefits

• Career and personal development support
• Individual guidance from a Service Delivery Manager
• Training, certifications, and conferences funded or fully covered
• Option to change project if needed (#SmartChange)
• Work-life balance: integration events, sports activities, and webinars (#edge1talks)
• Physical activity support: sports initiatives and training room rentals
• Health package: private medical care, sports card, insurance, and psychological support