Lead AI Developer
Tasks
- Architect multi-agent systems
- Build LLMOps pipelines
- Build MLops pipelines
- Collaborate on model evaluation and benchmarking
- Deploy models to production
- Design model optimization pipelines
- Develop multi-agent workflows
- Ensure CI CD model versioning and monitoring
- Implement model fine tuning and quantization
- Mentor team and review code and deployments
- Optimize latency and error recovery
Perks/Benefits
- N/A
Skills/Tech-stack
Agents SDK | Airflow | CI/CD | Caching | Distillation | Docker | Event Driven | Event-driven architecture | Faiss | FastAPI | Fault Tolerance | GRPC | Google ADK | Jenkins | Kubeflow | Kubernetes | Langchain | LoRA | MLflow | Message Queues | Milvus | Model Serving | Monitoring | Observability | OpenAI Agents | OpenAI Agents SDK | Pinecone | Pub/Sub | Python | Q LoRA | Quantization | REST | Terraform | Vector Search | Vertex AI | Weaviate | Weights and Biases
Education
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer
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