Senior MLOps Engineer

emagine Polska is seeking a Senior MLOps Engineer to join our team and lead the development of robust, scalable infrastructure for machine learning and generative AI projects. You will play a pivotal role in bridging the gap between data science and production, ensuring our AI solutions are reliable, efficient, and ready for real-world deployment.

Key responsibilities

• Design, build, and maintain scalable MLOps and LLMOps infrastructure on GCP.
• Develop and manage ML pipelines using tools such as MLflow, ZenML, Kubeflow, and Vertex AI Pipelines.
• Automate infrastructure provisioning with Terraform and manage containerized environments using Docker and Kubernetes.
• Build and maintain CI/CD pipelines for ML and GenAI applications using GitHub Actions.
• Design and orchestrate LLM and agentic workflows using LangGraph while implementing evaluation frameworks for RAG systems.

Requirements

• Strong professional experience in MLOps or LLMOps environments.
• Hands-on expertise with GCP services, including Vertex AI, Dataflow, and BigQuery.
• Proficiency in Terraform, Docker, Kubernetes, Python, and Bash.
• Practical experience with Generative AI, LLM orchestration frameworks like LangGraph, and model monitoring techniques.
• Strong communication skills with a minimum B2 level in both English and Spanish.

What we offer

• Opportunity to work on cutting-edge AI and GenAI projects in a fully remote environment.
• Collaborative atmosphere working alongside experienced Data Scientists and Engineering teams.
• Professional growth through technical guidance and the promotion of industry-leading MLOps best practices.