Machine Learning Team Lead, NLP, LLM

September 22

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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. • Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.). • Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting). • Implement safeguards (guardrails, structured output validation, injection protection). • 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 system reliability, performance tuning, caching, and optimization. • 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 • Preferred: Familiarity with 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 • Preferred: Redis caching for performance optimization • Preferred: Frontend experience with React and Next.js