Senior Machine Learning Engineer
Core
Lead the transition of experimental models into production-grade services, owning the entire ML lifecycle from automated training pipelines to real-time inference clusters.
Role type
Senior IC machine learning engineer (MLOps/Systems)
Builds
Production ML infrastructure, automated training pipelines, real-time inference clusters, and secure APIs wrapping ML capabilities
Domain
Cloud infrastructure, MLOps, AI systems engineering
Deliverable
production ML models | infrastructure
Required skills
Python, REST APIs, AWS, Docker, CI/CD, unit/integration testing, SOLID principles, observability, cost optimization, data/model versioning
Preferred skills
Experience with other major clouds, background in delivering ML systems in production
Technologies
Python, AWS, Docker
Responsibilities
Design and own automated Continuous Training and deployment pipelines; Establish telemetry frameworks for model health and drift monitoring; Own strategy for AI cloud spend and implement cost optimization; Integrate models into product ecosystem via high-performance APIs; Manage versioning strategy for code, data, and model artifacts
Seniority
Senior, hands-on IC