ML Architect
Tasks
- Advise clients on AI architecture
- Architect generative AI systems
- Build fine tuning pipelines
- Build foundation model and embedding workflows
- Conduct architecture reviews and mentorship
- Deploy AI systems to production
- Design agentic workflows
- Design for latency reliability and cost
- Develop semantic search solutions
- Engineer MLOps for production
- Implement evaluation observability responsible AI
- Implement rag pipelines
- Lead multi step reasoning systems
- Set technical direction
- Support pre-sales solutioning
Perks/Benefits
- N/A
Skills/Tech-stack
ADK | Agent systems | Agentic AI | Autonomous Agents | Cloud Architecture | Cost Optimization | Evaluation | Fine Tuning | Generative AI | Google Gemini | Governance | Langchain | Language Models | Large Language Models | Latency optimization | Llamaindex | MLOps | Multi-Agent | Multi-Agent Systems | Observability | Orchestration | PGVector | Pinecone | Prompt engineering | Python | RAG | Reliability Engineering | Responsible AI | Semantic Search | Shell Scripting | Tool use | Vector Databases | Vector Search | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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