Lead AI Engineer (MLX)
Tasks
- Build guardrails and model evaluation systems
- Conduct experimentation and model governance
- Contribute to technical vision and long term roadmap for foundational AI systems
- Design, develop, test, deploy, and support AI software components
- Develop and apply LLM optimization techniques
- Ensure observability for production AI systems
- Implement similarity search and vector database solutions
- Improve scalability cost latency throughput and hardware utilization
- Partner with cross-functional teams to deliver AI-powered products
- Train foundation models and run large language model inference
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | C# | C++ | Go | Google Cloud | Huggingface | Java | LLM Inference | Language Models | Large Language Models | Model Evaluation | Model Governance | Nemo Guardrails | Observability | PyTorch | Python | Scala | Similarity Search | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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