MLOps Tech Lead
Core
Design, develop, and maintain scalable software solutions and MLOps pipelines for global machine learning projects.
Role type
Senior MLOps Tech Lead / Engineering Manager
Builds
MLOps delivery platforms, data pipelines, and microservices architectures for critical global projects
Domain
Consumer intelligence, retail analytics, machine learning operations
Deliverable
production ML models | infrastructure
Required skills
software architecture design, data pipeline engineering, team leadership, CI/CD implementation, cloud services proficiency, Python programming, test automation
Preferred skills
Agile/Scrum methodology, SAFE framework, experience with data transformation tools (pandas, Spark, Databricks)
Technologies
Azure, AWS, GCP, Github Actions, Python, Spark, Databricks, pandas
Responsibilities
Design scalable software solutions, lead software architecture decisions, coordinate MLOps pipeline delivery, mentor developers, manage technical debt, perform code reviews
Seniority
Senior, hands-on IC with management responsibilities
