Senior Machine Learning Ops Engineer

About the 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.

What you'll do

• 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, scalable Feature Store, automated Monitoring systems, and Orchestration pipelines for retraining and redeployment
• 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

What you'll need

• 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