Python Cloud Native Lead

Role/Title: Data Scientist / AI Developer

Location: Santa Clara, CA

Onsite/Remote/Hybrid: Onsite

Duration: Long-term

Key Responsibilities: 

• Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. 
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems. 
• Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models. 
• Implement and manipulate complex algorithms essential for developing and optimizing generative AI models. 
• Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance. 
• Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows. 
• Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development, adaptive orchestration of multiple AI skills and APIs, contextual memory management, dynamic prompt engineering, and secure data handling. 
• Agent Orchestration: Build multi-turn agents that adapt and chain AI skills and APIs.  
• Trigger Management: Configure message, data, scheduled, and webhook triggers.  
• Automation Workflow: Design workflows with Power Automate for task automation. 
• Flow Design: Create logical, scalable flows for complex business processes.  
• Tool Integration: Use Copilot’s built-in connectors to integrate enterprise apps and services seamlessly.