Senior MLOps Engineer

Berlin - Germany

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Your Role

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

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 mentalityyou 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 toolingmodel 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 - you 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 upimpacting 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 energyand the infrastructure that powers AI at scale Apply now and join us on our journey

Additional Information :

Work in Germanys 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.
Would you rather keep your pet company at home or your colleagues at the office Even after the pandemic we offer you a hybrid working model
We fulfill every start-up cliché - in our modern office in Berlin-Friedrichshain youll find everything your heart desires from a ping-pong table and yoga corner to a roof terrace and stocked drinks fridges.
Your kick-start at Enpal - Get to know the company your team colleagues and our founder Mario on your onboarding day.

Stay up to date - Whether its company figures at our monthly all-hands meetings or how a photovoltaic system works at the Lunch & Learn youll always know exactly whats going on.
Energy transition only works together - At Enpal you can expect a legendary team spirit and unforgettable team events.
No mistakes no progress - We live a strong feedback culture and grow with your input either personally or anonymously via our feedback tool 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 :

Employment Type :

Full-time

Your RoleAs our Senior MLOps Engineer you will take ownership of our machine learning platform and help shape Enpals strategy for ML/GenAI enablement from technical infrastructure to regulatory compliance.AI Governance & Legal ResponsibilityAct as AI Act Steward within Enpal - ensure compliance with...