Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)
Tasks
- Add observability
- Build AI software components
- Conduct model evaluation
- Contribute to AI technical vision
- Deliver responsible AI solutions
- Deploy AI services on cloud
- Develop guardrails
- Ensure governance
- Implement similarity search
- Improve scalability cost latency throughput
- Optimize LLM training and inference
- Perform large language model inference
- Run experimentation
- Train foundation models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | C# | C++ | Cost Optimization | Experimentation | Foundation Model | Foundation Model training | Go | Google Cloud | Hardware optimization | Huggingface | Java | LLM optimization | Large Language Model | Large language model inference | Latency | Model Evaluation | Model Governance | Model Inference | Model Training | Nemo Guardrails | Observability | PyTorch | Python | Scala | Similarity Search | Throughput | VectorDB
Education
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
Regions
Countries
States
Cities
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