Lead AI/ML Engineer (Platform, kubeflow)
Tasks
- Build foundation model training pipelines
- Contribute to technical vision and roadmap for foundational AI platforms
- Create guardrails for model safety
- Design, develop, test, deploy, and support AI software components
- Develop similarity search using vector databases
- Implement governance and observability for AI systems
- Implement large language model inference services
- Optimize LLM performance for scalability cost latency and throughput
- Partner with cross-functional teams to deliver AI-powered products
- Perform model evaluation and experimentation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | C# | C++ | Cost Optimization | Experimentation | Go | Golang | Google Cloud | Guardrails | Inference | Java | Kubeflow | LLM optimization | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Evaluation | Model Governance | NLP | Observability | PyTorch | Python | Scala | Scalability | Similarity Search | Throughput Optimization | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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