Machine Learning Operations Engineer

MLOps Platform Engineer

Location: Lithuania | Hybrid | Full-time

We're looking for an experienced MLOps Platform Engineer to help build and maintain scalable, cloud-native infrastructure for deploying and running machine learning models. You’ll work with cutting-edge tools like AWS, Databricks, Terraform, Docker, and MLflow—automating ML pipelines and ensuring smooth transitions from model development to production.

What you’ll do:

• Develop CI/CD workflows and infrastructure-as-code for ML deployments
• Automate training, validation, and inference pipelines
• Build secure, scalable environments for model execution using containerization and cloud services
• Collaborate in a cross-functional agile team environment

What you bring:

• 2+ years of MLOps experience (model deployment, orchestration, automation)
• Solid skills in Python, PySpark, AWS, and Databricks
• Hands-on with Terraform, Docker, and CI/CD tools (e.g., GitHub Actions)
• Bonus: experience with Kafka or PubSub
• Strong problem-solving mindset and clear communication in English

Perks & benefits:

• Competitive salary: €3280–€4920 gross/month
• Health insurance, wellness programs, and mental health support
• Hybrid work (up to 2 days remote/week) + home office budget
• Extra paid leave, pension fund contributions, insurance packages
• Ongoing learning opportunities and career mobility within tech