Senior Machine Learning Ops Engineer, Enpal

• 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

Desirable

• 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.
• 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