AI ML Platform Lead
Tasks
- Architect AI ML platform infrastructure
- Build GenAI application platform
- Build document understanding and vector retrieval systems
- Create reusable platform components and interfaces
- Deliver observability dashboards and metrics
- Deploy AI agents and RAG workflows
- Develop scalable GPU accelerated AI pipelines
- Ensure security fairness and explainability compliance
- Implement scalable private cloud for AI ML workloads
- Integrate LLMs using MCP workflows
- Integrate knowledge graph into retrieval workflows
- Manage model latency
- Monitor real time inference and ETL pipelines
- Operationalize LLMs in production
- Optimize model inference performance
- Set platform technical roadmap
- Support generative AI system design
- Version LLM prompts
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | Docker | ETL | Event Driven | Event-driven architecture | FastAPI | Generative AI | Go | Graph integration | Inference Engines | Kafka | Knowledge graphs | Kubernetes | LLM Inference | LLM inference engines | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Microservices | ONNX | Observability | Ollama | Pinecone | Python | Qdrant | Quantization | RAG | Retrieval-Augmented Generation | Semantic Search | Server-Sent Events | Terraform | VLLM | Vector Databases | WebSocket
Education
N/A
Roles
AI | AI/ML Platform Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Platform Lead
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