Principal ai/ml engineer

14 hours ago


Bangalore, India Optum Full time

Lead innovation in deep learning, foundation models, reinforcement learning, or multimodal AI Key Skills: Gen AI, Python coding Research-level knowledge of LLMs, vision transformers (Vi Ts), diffusion models, RL, or multi-agent systems RAG & Vector Databases: Expertise in building and querying knowledge bases using Retrieval-Augmented Generation with Azure AI Search or similar technologies LLM Fine-Tuning: Hands-on experience with efficient finetuning techniques (Lo RA/QLo RA) for specializing models on custom datasets Proficiency with libraries for data transformation and comparison, such as JSON Patch and Deep Diff Quantum Computing: Understanding of quantum algorithms and tools like IBM's Qiskit and Google's Cirq. Familiarity with Multimodal transformers - integrating text, image, and audio data to create models Experience on graph-based RAGs for contextual reasoning and incorporating knowledge connections from graph neural networks. Real time RAG systems to handle dynamic and up-to-date information Track record of research (papers, patents, open source) Must have skills LLM & RAG Architecture Expertise: Hands-on experience with Retrieval-Augmented Generation (RAG) architectures using embeddings via Azure AI Search and Databricks. Proficient in implementing semantic search capabilities. Familiar with MCP servers for scalable deployment. Agentic AI & Orchestration: (Must have differentiating factor will be level of expertise) Experience with autonomous decision support using Lang Graph. Skilled in agent orchestration using Microsoft Copilot Studio and Crew AI. Performance Optimization: (Must have differentiating factor will be level of expertise) Working knowledge of latency reduction techniques for RAG-based applications, including Redis-based caching. LLM Fine-Tuning: (Must have for differentiating factor will be level of expertise) Practical understanding of fine-tuning methods such as Lo RA (Low-Rank Adaptation). Model Selection & Prompting: (Must have differentiating factor will be level of expertise) Awareness of the latest LLMs tailored to specific use cases (e.g., Claude, Gemini, GPT series). Understanding of prompt engineering requirements across different models. Cost Estimation: (Must have differentiating factor will be level of expertise) Ability to calculate and optimize costs for API-based model usage. Functional/Team experience Expertise with diverse AI uses cases Business and Domain Understanding Track record of research (papers, patents, open source)



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