MLOps Engineer
Core
Own how machine learning and AI run in production, turning Data Scientists' models into live, reliable services and building secure foundations for AI tools and agents.
Role type
MLOps Engineer
Builds
Production ML services, secure data access infrastructure for AI agents, and reliable GCP-based data platforms.
Domain
Home improvement marketplace, Machine Learning Operations, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, GCP ML services, Docker, Kubernetes, CI/CD, Infrastructure-as-Code, ML observability, Security practices
Preferred skills
Streaming/event-driven systems, LLM/agent infrastructure, Feature stores, AWS (MWAA)
Responsibilities
Deploy, automate, monitor and retrain ML models; Set MLOps standards (CI/CD, versioning); Build secure data access for AI tools; Maintain GCP/AWS data platform; Monitor pipelines for drift and cost; Apply security controls to ML workloads
Seniority
Mid-Senior, hands-on IC
