Data Scientist Python/R Sr
Tasks
- Build agentic AI solutions
- Collaborate with vendors and cross-functional teams
- Deploy and upgrade AI platform components
- Develop AI backend services and APIs
- Evaluate emerging AI models and frameworks
- Implement observability evaluation governance and safety controls
- Implement rag pipelines
- Implement tool calling and structured outputs
- Integrate LLM platforms into business applications
- Manage AI solution lifecycle from prototype to production
- Monitor and improve AI systems in production
- Orchestrate AI agents
- Troubleshoot incidents and optimize performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anthropic API | CrewAI | Embeddings | Event Driven | Event-driven architecture | GCP | GRPC | Go | Google Gemini | Kafka | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Model Context Protocol | Model Evaluation | Monitoring | Observability | OpenAI API | PGVector | Pinecone | Python | REST | Retrieval-Augmented Generation | Semantic Kernel | Structured outputs | Terraform | Tool-Calling | TypeScript | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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