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Optum

Senior AI/ML Engineer - Healthcare Experience

Posted 5 Days Ago
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In-Office
Hyderabad, Telangana
Senior level
In-Office
Hyderabad, Telangana
Senior level
Designs and delivers enterprise AI and machine learning solutions, including generative AI, fine-tuned LLMs, RAG, agentic systems, Document AI, OCR, and model deployment. Partners directly with business stakeholders to gather requirements, architect solutions, and own end-to-end delivery. Applies supervised, unsupervised, reinforcement learning, deep learning, and NLP techniques using Python, PyTorch, cloud platforms, APIs, and containerized environments. Healthcare experience is preferred.
The summary above was generated by AI
Requisition Number: 2377353
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.
Primary Responsibility:
  • 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:
  • Bachelor's degree or higher in computer science engineering
  • 10+ years of experience in AI ML roles
  • Experience in implementing real projects using Gen AI, Fine tuning LLMs , RAG
  • Experience in implementing enterprise level Agentic solution using any of the open frameworks (Langgraph, Google ADK, CrewAI, etc.)
  • Experience with vector databases / embeddings
  • Experience in Document AI / OCR / extraction solutions and structured output creation
  • Understanding of Both Opensource and Open AI LLMs and RAG architecture
  • Familiarity with NLP literature, thrust areas, conference venues, and code repositories
  • Familiarity with UI tools like Streamlit, flask etc , FAST APIs , Rest APIs , Docker containers
  • Proficiency in Python, pytorch , SQL and other programming languages for data analysis and modeling with atleast 5+ years of experience
  • Proficiency in libraries such as OpenAI API
  • Proficiency with cloud development environments such as Azure, AWS, and GCP
  • Proven exposure implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP
  • Proven good grasp of using LLMs, Deploying LLMs
  • Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
  • Proven product Mindset and able to work directly with business, take requirements, design solutions and take ownership of end to end delivery

Preferred Qualifications:
  • Healthcare Experience
  • Proficiency with cloud development environments such as Azure, AWS, and GCP

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.

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