
Machine Learning Team Lead
2 semanas atrás
Key Responsibilities
- ** Leadership & Team Management**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.
- Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
- Implement safeguards (guardrails, structured output validation, injection protection).
- ** Architecture & Backend Development**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.
- ** Evaluation & Optimization**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.**:
- 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.
- Familiarity with CosmosDB, KQL, Azure Log Analytics, App Insights.
- Experience with multiple LLM providers (Anthropic, Mistral, Cohere, etc.).
- Prompt caching, compression, and output validation strategies.
- Redis caching for performance optimization.
- Frontend experience with React and Next.js.
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