Data Scientist AI - MLOps Engineer - Senior - EY GDS Spain - Hybrid
Tasks
- Automate model training pipelines
- Build CI/CD pipelines for ML workflows
- Build RAG retrieval pipelines
- Deploy and operate ML and LLM services
- Design machine learning and LLM systems for production
- Develop APIs for ML and LLM services
- Ensure AI governance and responsible AI practices
- Implement ML and LLM model lifecycle management
- Implement monitoring logging and observability
- Orchestrate deployments with Kubernetes
- Package ML and LLM workloads using containers
Perks/Benefits
- Career development training programs
- Hybrid work model
- Psychological support sessions
- Recognition and rewards
- 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 Databases
Education
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