Machine Learning Team Lead, NLP, LLM

September 10

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Commit

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Commit is a global tech services company with offices in Israel, US, Canada, UK, and Europe.

501 - 1000 employees

📋 Description

• Lead and mentor a team of AI/ML engineers, fostering growth and technical excellence. • Define and enforce coding standards, architectural patterns, and best practices. • Collaborate with stakeholders to translate business needs into AI-driven solutions. • Manage project timelines, technical risks, and team deliverables. • Guide end-to-end lifecycle of Generative AI applications, ensuring technical excellence and scalability. • Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.). • Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting) and implement safeguards. • Build scalable backend services in .NET (C#) and Python, working with SQL and APIs. • Develop and manage RAG pipelines, conversational AI systems, and summarization tools. • Drive observability: tracing, logging, monitoring for LLM-powered systems. • Benchmark and evaluate LLMs using custom datasets and automated testing; oversee reliability and performance tuning. • Ensure solutions meet enterprise-grade standards for security and scalability.

🎯 Requirements

• 5+ years of professional experience in Machine Learning / AI engineering. • 1–2+ years hands-on experience in Generative AI application development. • Proven leadership or team lead experience (mentoring, managing, or leading AI/ML engineers). • Strong backend engineering skills in Python. • Solid knowledge of LLM providers (OpenAI, Anthropic, etc.) and prompt engineering techniques. • Experience with RAG pipelines, AI workflows, and productionizing LLM systems. • Hands-on with Docker, Kubernetes, REST APIs, and Azure (AKS, ACR, containerized deployments). • Excellent communication skills (English, written and spoken). • Preferred: Azure AI ecosystem (OpenAI, PromptFlow, Azure ML, AI Services), CosmosDB, KQL, Azure Log Analytics, App Insights. • Preferred: Experience with multiple LLM providers (Anthropic, Mistral, Cohere, etc.). • Preferred: Prompt caching, compression, and output validation strategies; Redis caching for performance optimization. • Preferred: Frontend experience with React and Next.js.