Related skills
python ci/cd model deployment rag llm📋 Description
- Design and build the retrieval layer powering RAG workloads
- Build knowledge graphs that capture semantics of customer models
- Develop end-to-end GenAI features: APIs, model integration, monitoring
- Engineer feature and context pipelines for forecasting
- Build the data plane for evaluation and GenAI quality
- Collaborate with data scientists to productionize ML models
🎯 Requirements
- Extensive data science engineering leadership
- Hands-on AI/ML production experience
- LLM-based systems: RAG, embeddings, logging
- Vector databases, graph databases, knowledge graphs
- End-to-end model lifecycle: training and deployment
- Python and modern software practices (CI/CD)
🎁 Benefits
- Winning culture and collaboration across teams
- Opportunities for development and recognition
- DEIB commitment and inclusive environment
- Supportive atmosphere welcoming diverse backgrounds
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!