MLOps Engineer
Core
MLOps Engineer responsible for deploying, operating, and maintaining machine learning and AI solutions in production for a global retail network.
Role type
Senior IC MLOps Engineer
Builds
Production ML/AI workloads, CI/CD pipelines, data and feature pipelines, and Generative AI solutions (LLMs, RAG) on Azure Databricks.
Domain
Retail / Machine Learning Operations / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Azure Databricks ecosystem (MLflow, Delta Lake, Unity Catalog, Workflows), CI/CD, unit and integration testing, data processing performance tuning, AI governance and security
Preferred skills
Agentic AI and LLM operationalization, RAG, vector search, agent orchestration frameworks, MCP orchestration, Azure cloud services for AI/ML, Databricks certifications
Technologies
Azure Databricks, MLflow, Delta Lake, Unity Catalog, Azure DevOps, PySpark, Python, SQL
Responsibilities
Partner with Data Science to manage model lifecycle from validation to production; implement and maintain production workflows for data ingestion, model execution, retraining, and deployment; build and maintain CI/CD pipelines for ML workloads; diagnose and resolve production issues regarding models, data, and platforms; implement access controls, security, and governance for AI agents and automated systems; support operationalizing Generative AI solutions including LLMs and RAG; contribute to reusable MLOps tooling and best practices; optimize performance of Databricks and cloud infrastructure.
Seniority
Senior, hands-on IC
