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AI or ML Engineer @ Optum

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 AI or ML Engineer

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.
  •    Primary Responsibilities
  •  
  • Design and implement scalable ML solutions using state-of-the-art generative models
  • Fine-tune and optimize large language models (LLMs) for domain-specific applications
  • Collaborate with cross-functional teams to integrate AI capabilities into products and services
  • Conduct research and stay up-to-date with the latest advancements in generative AI and deep learning
  • Develop pipelines for data preprocessing, model training, evaluation, and deployment
  • Ensure model performance, fairness, and interpretability through rigorous testing and validation
  • Mentor junior engineers and contribute to knowledge sharing within the team
  • 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
  •  
  • Bachelors or masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field
  • 7+ years of experience in AI/ML engineering, with at least 2 years focused on Generative AI
  • Hands-on experience with LLMs, prompt engineering, and fine-tuning techniques
  • Experience with ML Ops tools and cloud platforms (AWS, GCP, Azure)
  • Familiarity with model evaluation techniques and bias/ethical AI metrics
  • Proficiency in Python and ML frameworks such as TensorFlow, Py Torch, Hugging Face Transformers
  • Proven excellent problem-solving skills and ability to work in a fast-paced environment
  • 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.

    Job Classification

    Industry: Retail
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Machine Learning
    Role: Machine Learning Engineer
    Employement Type: Full time

    Contact Details:

    Company: Optum
    Location(s): Bengaluru

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    Keyskills:   python artificial intelligence tensorflow aws ml image processing c++ css c natural language processing neural networks microsoft azure machine learning javascript sql deep learning java data science gcp computer vision pytorch keras html opencv

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    Optum

    About: OptumInsight India Pvt Ltd, a UnitedHealth group company is a leading health services and innovation company dedicated to help make the health system work better for everyone. With more than 115,000 people worldwide, Optum combines technology, data and expertise to improve the delivery, ...

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