MLOps / Data Scientist / Data Engineer

Quick Facts

• Role: MLOps / Data Scientist / Data Engineer

• Focus: End-to-end MLOps for ML models and decision engines

• Work style: Primarily Poland-based with partial work from the Warsaw office (about 20%)

Description

Design, build, and continuously improve MLOps environments that support deployment, automation, and maintenance of machine learning models and decision engines. Develop, implement, and monitor processes across the full lifecycle of analytical/model workflows, including CI/CD and ML deployment automation aligned with DevOps and MLOps best practices. Implement and evolve cloud/analytics platform processes (Azure, Fabric, SAS Viya), including integrations between on-prem and cloud, and recommend new technologies for the ML/AI architecture.

Responsibilities

• Design, build, and develop MLOps environments for ML model and decision engine deployment, automation, and maintenance

• Create, implement, and monitor processes covering the full lifecycle of analytical/model workflows

• Build and maintain CI/CD and automated ML deployment pipelines using DevOps/MLOps best practices

• Design and implement processes on cloud/analytics platforms (Azure, Microsoft Fabric, SAS Viya) for the MLOps team

• Analyze platform development needs and implement improvements for building decision engines and predictive models; integrate on-prem with cloud environments

• Evaluate new technologies and cloud services and recommend their use in ML/AI architecture

Requirements

• Higher education in data science, econometrics, statistics, mathematics, physics, or related fields

• Minimum 2 years of experience in MLOps, Machine Learning, or Data Engineering

• Knowledge of Azure cloud environments and the Microsoft ecosystem

• Knowledge of Python, Git, and CI/CD

• Knowledge of SAS Viya, Azure ML, Databricks, and Fabric

• Knowledge related to deployment, monitoring, and managing the model lifecycle

Benefits

• Opportunity to work on end-to-end MLOps for ML and decision engine workflows

• Partial on-site presence in Poland (about 20% from the Warsaw office)