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Senior Machine Learning Ops Engineer

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enpal

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Location:
Germany , Berlin

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As our Senior MLOps Engineer, you will take ownership of our machine learning platform and help shape Enpal’s strategy for ML/GenAI enablement, from technical infrastructure to regulatory compliance.

Job Responsibility:

  • Act as AI Act Steward within Enpal - ensure compliance with the EU AI Act and future regulations
  • Build and maintain a central registry of all ML and GenAI use cases and models
  • Design processes to monitor high-risk models, ensuring explainability, robustness, and fairness
  • Design and implement core infrastructure, including: A centralized Model Registry
  • A scalable Feature Store
  • Automated Monitoring systems for both ML and GenAI models
  • Orchestration pipelines for retraining and redeployment (e.g. Airflow-based)
  • Collaborate with Data Engineering to ensure seamless CI/CD for ML workflows
  • Drive implementation of GenAI-based agents that interface with our DWH (e.g. access distribution, text-to-SQL, semantic search, natural language querying)
  • Prototype and deploy agentic LLM workflows using Snowflake and other enterprise data assets
  • Provide ML-as-a-Service capabilities to empower teams across the company
  • Be the go-to person for evaluating and enabling ML/GenAI PoCs with business units
  • Champion the use of AutoML and build reusable tools for scalable experimentation
  • Proactively identify and implement high-impact use cases, leveraging data across the company

Requirements:

  • 4+ years of experience in MLOps, ML engineering, or applied machine learning in production environments
  • Strong ownership mentality—you care about impact, not just implementation
  • Clear communicator who can explain complex ML concepts to non-technical stakeholders
  • Solid experience with cloud infrastructure (Azure preferred), container orchestration (Docker/Kubernetes), and IaC (Terraform)
  • Proven track record with ML lifecycle tooling—model versioning, monitoring, retraining, CI/CD
  • Familiarity with MLFlow, Airflow, or similar platforms
  • Strong programming skills in Python and experience with ML frameworks
  • Hands-on experience with Snowflake, Databricks, or modern data stack tools

Nice to have:

  • Exposure to GenAI applications (e.g., LLM orchestration, LangChain, RAG pipelines)
  • Experience interpreting and operationalizing AI regulatory frameworks, especially the EU AI Act
  • Prior experience enabling AutoML adoption or building self-serve ML platforms
  • Enthusiasm for working at the intersection of Data Engineering, AI innovation, and legal compliance
  • Collaborative and pragmatic - able to work cross-functionally across Data, Engineering, and Legal teams
  • Curious and proactive - you keep up with the latest in GenAI and MLOps, and enjoy trying new ideas
What we offer:
  • Competitive salary
  • Flexible working arrangements
  • Empowering team culture
  • Hybrid working model
  • Modern office in Berlin-Friedrichshain with amenities (ping-pong table, yoga corner, roof terrace, stocked drinks fridges)
  • Onboarding day to get to know the company, team colleagues and founder
  • Monthly all-hands meetings
  • Lunch & Learn sessions
  • Legendary team spirit and unforgettable team events
  • Strong feedback culture
  • Safe workplace with action against discrimination and harassment

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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