Were looking for an ML Ops Engineer to join a growing Data Science Hub, supporting projects in the Supply Chain domain at a global scale. This is a key technical role focused on infrastructure, deployment, and scalability of machine learning systems, not model development or data science research.
This is not a role for Data Scientists or Deep Learning Researchers. Were seeking someone experienced in productionizing ML models, supporting teams by enabling robust platforms, deployment workflows, and automation pipelines.
About the Team:
You’ll join a Data Science Hub working on global supply chain analytics projects. The team consists of Data Scientists, MLOps Engineers, Analysts, and a hands-on Manager – fostering collaboration, innovation, and real-worldimpact.
responsibilities :
Optimize, standardize, and implement machine learning solutions in cloud-based environments (mainly Azure ML)
Support end-to-end lifecycle of ML projects: model deployment, monitoring, versioning, testing, and CI/CD
Collaborate closely with Data Scientists and Researchers to build tools and infrastructure that improve delivery of ML solutions
Set up and manage ML pipelines, MLflow, and configuration of resources across environments
Work according to engineering best practices (DevOps, clean code, automated testing)
requirements-expected :
2+ years of hands-on experience in ML Ops or ML Engineering
Strong background in infrastructure, DevOps, or Data Engineering
Experience in Azure ML and ML-related toolchains (CI/CD, MLflow,etc.)
Comfortable supporting production ML systems – not focused on model research
Proficient in Python, working with cloud platforms, version control, and automation
Excellent communication skills in English, especially in technical collaboration
offered :
A full-time contract with possibility to choose the form of employment (UoP/B2B)
Stable and long-term cooperation
A clearly defined career path and the possibility of development in four areas as: Project Manager, Business Manager, Technical Leader and a specialist in their field
Participation in company conferences, trainings, workshops, integration meetings, etc.
Certification and training opportunities
Opportunity to relocate and work in different ALTEN Polska branches
