We are seeking a highly motivated and skilled MLOps Engineer to support the design, automation, and operationalization of AI-driven cloud solutions.
Requirements
- 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 using CI/CD.
- Strong coding skills with Python
- Proficiency in Kubernetes, Docker, and Linux/Windows system management.
- Familiarity with ML observability, experiment tracking, and deployment rollback techniques.
Benefits
- 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
- Bonus/referral/incentive/recognition programs - we want you to feel appreciated at Unisys!
- Extended health insurance coverage also for private use after 1-year tenure (premium package)
- 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: up to 66.800 € based on your competencies and skills
