ML Tech Lead
Tasks
- Build RAG systems
- Build multi-agent systems
- Build pipelines for processing and validating documents
- Conduct code reviews
- Create prompt engineering strategies
- Define engineering standards and best practices
- Design and evolve LLM architectures
- Design production grade AI services
- Develop evaluation frameworks for AI
- Develop semantic and hybrid search
- Implement AI guardrails
- Implement monitoring for infrastructure costs
- Implement monitoring for latency and reliability
- Implement monitoring for model quality
- Implement reranking techniques
- Implement tool calling and memory frameworks
- Integrate LLMs using Ollama
- Integrate LLMs using OpenAI compatible APIs
- Lead architecture discussions
- Mentor engineers
- Optimize embeddings based search
Perks/Benefits
Skills/Tech-stack
Agent systems | Async Python | Cursor | Docker | Docker Compose | ETL | Embeddings | FastAPI | GitHub Copilot | LLM | Logging | Monitoring | Multi-Agent | Multi-Agent Systems | Ollama | OpenAI API | PGVector | PostgreSQL | Prompt engineering | Python | RAG | Reranking | SQL | System design | TypeScript | Webhooks
Education
N/A
Roles
Engineer | Lead | Learning Engineer | ML Tech Lead | Machine Learning Engineer | Tech Lead
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