Lead AI/ML Engineer (Platform, kubeflow)
Core
Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, similarity search, guardrails, and observability to build scalable, high-performance AI infrastructure.
Role type
Lead AI/ML Platform Engineer (LLM & Foundation Models)
Builds
Proprietary AI platforms and services empowering teams across the company to enhance products with AI.
Domain
Banking / Large Language Models / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Go, Scala, Java, PyTorch, LLM optimization, vector databases, model evaluation, system scalability, hardware utilization
Preferred skills
AWS Ultraclusters, Nemo Guardrails, C++, C#, Golang, cloud platform deployment, AI research application
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; Design and support AI software components; Invent LLM optimization techniques; Contribute to the technical vision and roadmap of foundational AI systems.
Seniority
Lead, hands-on IC with strategic roadmap ownership