Vacancy description
Optum Global Solutions (India) Private Limited
India, Noida
Optum - Senior AI/ML Engineer in Noida, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Description :- Develop end-to-end training and fine-tuning of Large Language Models (LLMs), including both open-source (e.g., Qwen, LLaMA, Mistral) and closed-source (e.g., OpenAI, Gemini, Anthropic) ecosystems.- Deep knowledge and extensive experience with Machine/Deep Learning frameworks including transformer architectures, state space models, large language models, and agentic approaches.- Knowledge of algorithms and techniques within a computational domain with emphasis on text processing.- Architect and implement GraphRAG pipelines, including knowledge graph representation and retrieval for enhanced contextual grounding.- Design, train, and optimize semantic and dense vector embeddings for document understanding, search, and retrieval.- Develop semantic retrieval systems with advanced document segmentation and indexing strategies.- Build and scale distributed training environments using NCCL and InfiniBand for multi-GPU and multi-node training.- Apply reinforcement learning techniques (e.g., RLHF, RLAIF) to align model behavior with human preferences and domain-specific goals.- Experience with Hybrid NLP solutions that combine symbolic and machine learning approaches.- Collaborate with cross-functional teams to translate business needs into AI-driven solutions and deploy them in production https://jobeax.com/link/PwpcvA8Ec6xcLWJW :- Graduate degree or equivalent experience.- PhD or Masters degree in computer science, Machine Learning, or related field.- 10+ years of experience in applied AI/ML with statistics, with a strong track record of delivering production-grade models.- Deep expertise in NLP, Fundamental machine learning, deep learning, transformer, state space-based architecture.- Azure ML and/or AWS.- Strong in Python coding, SQL and database queries, data preparation, and analysis.- Exploratory Data Analysis (EDA).- Experience with PyTorch.- LLM training and fine-tuning (e.g., GPT, LLaMA, Mistral, Qwen).- Graph-based retrieval systems (GraphRAG, knowledge graphs).- Embedding models (e.g., BGE, E5, SimCSE).- Semantic search and vector databases (e.g., FAISS, Weaviate, Milvus).- Document segmentation and preprocessing (OCR, layout parsing).- Model fusion and ensemble techniques (stacking, boosting, gating).- Optimization algorithms (Bayesian, Particle Swarm, Genetic Algorithms).- Reinforcement learning (e.g., RLHF, PPO, DPO, GRPO), Supervised Fine Tuning (SFT), LoRA, QLoRA, https://jobeax.com/link/ZN84n1qz5r0tmis1 :- UG : Any Graduate. (ref:hirist.tech)
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