Senior MLOps Engineer (AI)

TL;DR

Senior MLOps Engineer (AI): Building and optimizing CI/CD pipelines for ML and LLM models with an accent on scalability, latency, and cost-efficiency. Focus on designing robust MLOps frameworks, automating model lifecycles, and managing cloud infrastructure to ensure reliable production deployments.

Location: Hybrid in Cologne or Remote within the EU

Company

Europe’s leading e-pharmacy dedicated to innovation and improving human health through collaborative, purpose-driven technology.

What you will do

• Develop and maintain CI/CD pipelines for ML and LLM production deployments.
• Optimize LLM deployment strategies focusing on latency, cost, and scalability.
• Automate model retraining and redeployment processes based on data patterns.
• Manage cloud and on-premise infrastructure using platforms like AWS, GCP, or Azure.
• Implement data versioning and validation to ensure integrity across the ML lifecycle.
• Utilize tools like MLflow for experiment tracking and model reproducibility.

Requirements

• Hands-on experience in MLOps, DevOps, or related engineering roles.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Strong scripting skills in Python and Bash.
• Experience with infrastructure-as-code tools like Terraform and version control systems.
• Familiarity with CI/CD tools and ML workflow frameworks like MLflow or Kubeflow.
• Must be based in the EU for remote work arrangements.

Culture & Benefits

• Flexible remote work policy with up to 20 days per year working from anywhere in the EU.
• Comprehensive personal development support through internal and external training.
• Corporate pension plan with dedicated external consulting.
• Access to professional mental health support via nilo.
• Regular team-building events and company celebrations.