Machine Learning Engineer
Core
End-to-end MLOps engineering for AI/ML and LLM solutions, bridging technical implementation with business needs.
Role type
Senior Machine Learning Engineer (MLOps/LLMOps)
Builds
Production ML/LLM applications and MLOps infrastructure
Domain
IT services, AI/ML, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, Kubernetes, Google Cloud Platform (GCP), Machine Learning, LLM, Linux (Debian/RHEL), MLOps/LLMOps methodologies, technical leadership, project management
Preferred skills
Experience with CI/CD pipelines, model monitoring, automation, governance
Technologies
Kubernetes, Google Cloud Platform, Python, Linux
Responsibilities
Lead MLOps projects from analysis to deployment and maintenance, design and implement ML/LLM solutions, maintain production environments on Kubernetes/GCP, optimize MLOps processes and pipelines, collaborate with Data Science and DevOps teams, diagnose technical issues and propose solutions
Seniority
Senior, hands-on IC with leadership responsibilities