Lead AI Engineer (Vision model customization, VLM)
Tasks
- Build similarity search systems
- Contribute to technical vision and roadmap
- Design develop and deploy AI software components
- Evaluate models
- Implement model guardrails
- Improve scalability cost latency and throughput
- Invent LLM optimization techniques
- Partner with cross-functional teams
- Run experimentation and A B testing
- Run large language model inference
- Support AI services in production
- Train foundation models
Perks/Benefits
- Drug-free workplace
- Health benefits
- Inclusive work environment
- Long-term incentives
- Performance bonuses
Skills/Tech-stack
AWS | Azure | C# | C++ | Experimentation | Foundation Models | Go | Golang | Google Cloud | Huggingface | Java | LLM Inference | Language Models | Large Language Models | Machine Learning | Model Evaluation | NVIDIA NeMo Guardrails | NVIDIA Nemo | Nemo Guardrails | Observability | PyTorch | Python | Scala | Similarity Search | VectorDB
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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