Data Science Architect - Python & AI/ML

Job Summary:

We are looking for a skilled and passionate Data Science Architect - Python & AI/ML to design and implement advanced AI systems using AWS technologies. You will work on cutting-edge solutions like Retrieval Augmented Generation (RAG), GraphRAG, and agentic AI systems, leveraging the latest in GenAI tools and techniques.

Key Responsibilities:

• Design and develop complex Generative AI solutions using AWS services
• Implement RAG and GraphRAG architectures
• Build scalable AI systems with AWS Bedrock and SageMaker
• Develop agent-based AI systems with reasoning capabilities
• Use vector databases and advanced ML methods for custom AI solutions
• Stay updated and integrate emerging GenAI technologies
• Optimize AI/ML models and enhance performance

Required Skills & Expertise:

Generative AI:

• RAG and GraphRAG methodologies
• LoRA (Low-Rank Adaptation)
• Agentic AI design principles
• Prompt engineering
• AI model fine-tuning

AWS & Cloud:

• AWS Bedrock and SageMaker
• Cloud-native AI architecture
• AWS AI/ML services

Technical Skills:

• Python (advanced)
• Strong understanding of LLMs and ML architectures
• Experience with vector databases

Frameworks & Tools:

• PyTorch, TensorFlow, Hugging Face
• LangChain, LlamaIndex

Nice to Have:

• Experience in enterprise AI strategy development
• Performance tuning of GenAI systems