MLOps Engineer

Benefits

Additional Information

What success looks like in this role: You´ll perform Data & ML Platform Management including workspace configuration, cluster setup, job orchestration, model deployment endpoints, and secure secret or key management as well as configure and manage Unity Catalog for secure and governed data access. Build and maintain ML and CI/CD pipelines for data preparation, training, validation, packaging, and deployment of ML models using platforms like Azure DevOps. Integrate MLflow, Azure ML or equivalent tools for experiment tracking, artifact versioning, and model registry management. Implement monitoring for ML services using Azure Monitor, Application Insights, or open-source tools. You will be successful in this role if you have: Must-Have-Skills: 2-5 years of experience in DevOps or MLOps roles or similar Strong expertise/understanding of Cloud Services, Azure Databricks, and Azure Machine Learning Deep understanding of ML model lifecycle and pipeline automation Strong coding skills with Python Proficiency in Kubernetes, Docker, and Linux/Windows system management. Familiarity with ML observability, experiment tracking, and deployment rollback techniques. Excellent troubleshooting, problem-solving, and communication skills. Nice-to-Have Skills: Azure certifications Experience with GitOps, DevSecOps or MLOps best practices for CI/CD of AI workloads, Terraform, Bicep, and Azure DevOps. Working knowledge of IAM, certificate management and Key Vault security. Why Unisys? Become part of our "Winning Culture" and work on award-winning projects in high-end technological setting Corporate Social Responsibility and Inclusion standards are very important to us and go far beyond the usual - especially in the current political climate! We offer a company own learning platform! Our goal is to help you realize your individual potential! "Wellbeing & Employee Assistance Program": Your (mental) health is important to us and is treated confidentially by a neutral party! Solid qualification-, performance- & competence-based remuneration model, attractive pension scheme and various allowances Referral/incentive/recognition programs - we want you to feel appreciated at Unisys! Extended health insurance coverage(premium package) as well for private usage after 3-month probation period hybrid work model (3 days onsite/2 days flexible) and great camaraderie, whilst working with Lithuania and global top talent Free parking lots and a bike garage for storage Opportunity to work on production-grade AI and ML systems at scale. Collaborative and engineering-focused environment encouraging innovation. Salary: full-time gross monthly 3.900,00 - 5.600,00 € based on your competencies and skills plus a company bonus #LI-LO1 Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' EEO commitment here .