Development architect hcm Jobs

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Oracle Cloud HCM Technical Manager
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- Full-time
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Senior AI ML Engineer

Optum -
Hyderabad, Telangana

Apply Now

Job details

Full-time

Benefits

Health insurance

Qualifications

Statistics
Azure
Oracle
Node.js
Law
Doctoral degree
Computer Science
PyTorch
Data analysis skills
Master's degree
Databases
SQL
AWS
Machine learning
Deep learning
Natural language processing
AI
Oracle HCM
Graph databases
Python

Full job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are seeking a highly skilled Oracle BI & HCM Reporting Specialist to design, develop, and optimize reporting solutions across Oracle HCM modules. This role is hands-on and requires deep expertise in OTBI, BI Publisher, HCM Extracts, and HDL, with solid SQL skills and a proven ability to deliver accurate, scalable reporting solutions in a fast-paced environment.

Primary Responsibilities:

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 environments
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

PhD or Master's 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
Experience with Azure ML and/or AWS
Experience with Exploratory Data Analysis (EDA)
Experience with PyTorch
Experience with LLM training and fine-tuning (e.g., GPT, LLaMA, Mistral, Qwen)
Experience with Graph-based retrieval systems (GraphRAG, knowledge graphs)
Experience with Embedding models (e.g., BGE, E5, SimCSE)
Experience with Semantic search and vector databases (e.g., FAISS, Weaviate, Milvus)
Experience with Document segmentation and preprocessing (OCR, layout parsing)
Experience with Model fusion and ensemble techniques (stacking, boosting, gating)
Experience with Optimization algorithms (Bayesian, Particle Swarm, Genetic Algorithms)
Experience with Reinforcement learning (e.g., RLHF, PPO, DPO, GRPO), Supervised Fine Tuning (SFT), LoRA, QLoRA, axolotl
Experience with Prompt optimization framework (AutoPrompt, GreaterPrompt, DSPy), GEPA
Deep expertise in: NLP, Fundamental machine learning, deep learning, transformer, state space-based architecture
Proven solid in Python coding, SQL and database queries, data preparation, and analysis

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Apply Now

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