Senior MLOps Engineer

Enpal B.V.; Berlin; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading renewable energy company is seeking a Senior MLOps Engineer to take ownership of their machine learning platform. This role involves shaping AI governance for compliance with the EU AI Act, designing core MLOps infrastructure, and implementing innovative GenAI use cases. The ideal candidate should have 4 years of experience in MLOps, strong programming skills in Python, and familiarity with cloud infrastructure. Join a mission-driven team committed to sustainability and innovation in Berlin.

Leistungen

Competitive salary

Flexible working arrangements

Empowering team culture

Onboarding day with the team

Qualifikationen

• 4 years of experience in MLOps ML engineering or applied machine learning in production environments.
• Strong ownership mentality with a focus on impact.
• Ability to communicate complex ML concepts to non-technical stakeholders.
• Proven track record with ML lifecycle tooling and CI/CD.

Aufgaben

• Ensure compliance with EU AI Act and maintain registry of ML and GenAI models.
• Design core infrastructure including Model Registry and monitoring systems.
• Drive implementation of GenAI-based agents interfacing with DWH.
• Provide ML-as-a-Service capabilities empowering teams.

Kenntnisse

MLOps ML engineering

Cloud infrastructure (Azure preferred)

Container orchestration (Docker/Kubernetes)

Programming in Python

Experience with ML frameworks

Hands-on experience with Snowflake

Tools

MLFlow

Airflow

Terraform

Jobbeschreibung

Overview

Your Role

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.

Responsibilities

• AI Governance & Legal 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.
• MLOps Infrastructure
  • 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.
• GenAI & Agentic Use Cases
  • 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.
• Central Data Science Enablement
  • 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.

Qualifications

Your Profile

Must-Haves

• 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-Haves

• 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—keep up with the latest in GenAI and MLOps and enjoy trying new ideas.

Why Join Us

• Help build responsible AI infrastructure from the ground up, impacting how Enpal scales ML/GenAI.
• Work with a modern data stack: Snowflake, Databricks, Airflow, Terraform, Azure.
• Join a mission-driven team committed to sustainability, innovation and continuous learning. Our vision is to create Best Data Platform in Germany.
• Competitive salary, flexible working arrangements and an empowering team culture.

Ready to build the future of energy and the infrastructure that powers AI at scale? Apply now and join us on our journey

Additional Information

• Work in Germany’s first green unicorn and actively shape the solar energy revolution.
• The sun shines all over the world - at Enpal you will find a highly motivated and diverse team with more than 65 different nationalities.
• Hybrid working model - even after the pandemic we offer you flexibility.
• Modern office in Berlin-Friedrichshain with amenities.
• Your kick-start at Enpal - onboarding day with the team and founder Mario.
• Stay up to date - monthly all-hands and Lunch & Learn sessions.
• Energy transition only works together - legendary team spirit and events.
• No mistakes no progress - strong feedback culture via tools like Culture Amp.

At Enpal we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.

Remote Work : No

Employment Type : Full-time

Key Skills

APIs, C/C++, Computer Graphics, Go, React, Redux, Node.js, AWS, Library Services, Assembly, GraphQL, High Voltage

Experience: years

Vacancy: 1