MLOps Specialist / Data Scientist / Data Engineer

Quick Facts

• Work mode: Hybrid (1 day per week in the Warsaw office)
• Contract type: B2B
• Start: ASAP
• Cooperation: Long-term

Description

Support the MLOps project team by designing processes and building environments for decision engines and predictive/forecasting models. You will implement MLOps mechanisms on cloud platforms and manage the full lifecycle of analytical models with CI/CD, automation, deployment, and monitoring. You will also analyze new cloud technologies and recommend their use for ML/AI architecture, including integration between on-prem and cloud systems.

Responsibilities

• Design, build, and evolve MLOps environments for ML model deployment, automation, and maintenance
• Develop, implement, and monitor end-to-end analytical model lifecycle processes
• Create and maintain CI/CD processes and ML deployment automation following DevOps and MLOps best practices
• Design and implement solutions on cloud/analytics platforms (Azure, Fabric, SAS Viya)
• Improve processes for building decision engines and predictive models, and integrate on-prem environments with cloud
• Evaluate new cloud technologies and services and recommend their adoption in ML/AI architectures

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 and the Microsoft ecosystem
• Ability to program in Python
• Knowledge of Git and CI/CD processes
• Familiarity with SAS Viya, Azure ML, Databricks, Fabric, or similar analytics platforms
• Understanding of deployment, monitoring, and lifecycle management of models
• Ability to independently analyze new technologies and propose business applications

Benefits

• Hybrid work in Warsaw (1 day per week in office)
• Long-term cooperation under B2B contract
• Rate up to 200 PLN net per hour