MLOps / LLMOps Engineer - Senior - EY GDS Spain - Hybrid
Tasks
- Automate model deployment and operations
- Build APIs for ML and LLM services
- Build ML and LLM infrastructure
- Containerize ML and LLM workloads
- Deploy inference services on Kubernetes
- Design production machine learning systems
- Develop LLM application orchestration workflows
- Implement CI CD for ML LLM workflows
- Manage end-to-end model lifecycle
- Orchestrate RAG pipelines
- Set up monitoring, logging, and observability
Perks/Benefits
- Career Development Programs
- Hybrid work model
- Recognition and rewards programs
- Volunteering opportunities
- Well-being programs
Skills/Tech-stack
AKS | Autogen | Azure DevOps | Azure Machine Learning | CI/CD | Docker | Embeddings | FastAPI | Flask | GitHub Actions | GitLab CI | Inference Server | KServe | Kubernetes | Langchain | Langgraph | Logging | MLflow | Machine Learning | Monitoring | Observability | Python | RAG | Ray Serve | Semantic Kernel | Triton Inference | Triton Inference Server | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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