Agentic AI Lead
Tasks
- Architect multi-agent systems
- Benchmark and evaluate models
- Containerize and deploy models
- Design model optimization pipelines
- Develop fine-tuning pipelines
- Ensure traceability
- Improve latency and error recovery
- Lead multi agent workflow development
- Manage model versioning and monitoring
- Mentor team and review code and deployments
- Oversee CI/CD pipelines
Perks/Benefits
Skills/Tech-stack
Agent safety | Agent safety evaluation | Agents SDK | Airflow | CI/CD | Docker | Efficient Fine Tuning | Event Driven | Event-driven architecture | Faiss | FastAPI | Fine Tuning | GRPC | Google ADK | Governance | Human Feedback | Jenkins | Kubeflow | Kubernetes | LLMOps | Langchain | Learning from Human Feedback | LoRA | MLOps | MLflow | Machine Learning | Milvus | Model Optimization | Model Serving | OpenAI Agents | OpenAI Agents SDK | Parameter efficient fine-tuning | Pinecone | Pub/Sub | Quantization | REST | RLHF | Reinforcement Learning | Reinforcement Learning from Human Feedback | Safety evaluation | Terraform | Vector Search | Vertex AI | Weaviate | Weights and Biases
Education
Roles
AI Lead | Agentic AI Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer
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