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AI/ML Engineer

7 days ago Bangalore, India

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 Responsibilities:

  • Lead and manage a team of data scientists, fostering a collaborative and innovative environment
  • Oversee the design and development of predictive models and machine learning algorithms
  • Collaborate with business stakeholders to understand and define their data needs
  • Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner
  • Monitor model performance and continuously improve the accuracy of predictions and insights
  • Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate
  • Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making
  • Ensure data integrity and compliance with privacy regulations
  • 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:

  • Proven experience with LLMs
  • Experience with Retrieval-Augmented Generation (RAG) techniques
  • Experience in ensuring the production quality of code, including thorough testing and documentation
  • Experience with version control systems such as Git
  • Solid understanding of machine learning concepts and fine-tuning methodologies
  • Basic understanding of containerization technologies such as Docker
  • Proficiency in using the Langchain framework
  • Proven excellent coding skills in Python, with adherence to PEP8 standards
  • Proven solid problem-solving skills and attention to detail
  • Proven ability to write clean, maintainable, and efficient code
  • Proven comfortable working on the terminal for various development and deployment tasks.

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.

#NIC #NJP

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Client-provided location(s): Bangalore, India
Job ID: UHG-2342232
Employment Type: FULL_TIME
Posted: 2026-02-18T20:05:07

Perks and Benefits

  • Health and Wellness

    • HSA
    • On-Site Gym
    • HSA With Employer Contribution
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
  • Parental Benefits

    • Non-Birth Parent or Paternity Leave
    • Birth Parent or Maternity Leave
  • Work Flexibility

    • Remote Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
  • Vacation and Time Off

    • Leave of Absence
    • Personal/Sick Days
    • Paid Holidays
    • Paid Vacation
  • Financial and Retirement

    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • 401(K) With Company Matching
    • 401(K)
  • Professional Development

    • Promote From Within
    • Shadowing Opportunities
    • Access to Online Courses
    • Tuition Reimbursement
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program

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