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    Job · 18977618

    Optum Global Solutions logo

    AI/ML Engineer

    Optum Global Solutions · Hyderabad · onsite · Posted 28d ago

    Undisclosed5–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    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 the design, development, and implementation of scalable AI/ML solutions, leveraging Python, SQL, pandas, numpy, and modern ML frameworks (TensorFlow, PyTorch, Scikit Learn)
    • Oversee end to end ML workflows-from data preparation, feature engineering, EDA, and model development to evaluation, deployment, and continuous monitoring
    • Guide model selection, optimization, and tuning, ensuring solutions balance performance, explainability, cost, and Responsible AI principles
    • Build and maintain production grade ML pipelines with orchestration and experiment tracking tools such as MLflow, Feature Stores, ONNX, and vector databases
    • Lead drift analysis, observability, and model health monitoring to ensure ongoing accuracy, reliability, and robustness in production environments
    • Design and support scalable, multi cloud ML infrastructure (Azure/GCP primary, AWS optional), incorporating best practices for compute, storage, networking, and distributed data processing
    • Collaborate with data engineering teams to integrate real time and batch pipelines built on Synapse/BigQuery, Dataflow/Databricks, and Kafka/EventHub/PubSub
    • Work closely with engineering, product, data science, and UX to translate business requirements into actionable technical solutions and architecture patterns
    • Review and guide the creation of architecture diagrams, C4 models, ADRs, and technical specifications as part of engineering governance
    • Mentor and coach data scientists and ML engineers on best practices in model development, experimentation, coding standards, optimization, and cloud native ML deployment
    • Ensure ML systems meet high standards of scalability, security, reliability, automation, observability, and operational excellence
    • Collaborate with front end teams where needed to ensure ML components integrate seamlessly with product workflows and user-facing experiences
    • Stay current with emerging AI/ML tools, frameworks, and research; evaluate applicability to current and future projects
    • Communicate technical concepts, design trade-offs, and recommendations clearly to both technical and non technical stakeholders, including leadership
    • Document methodologies, experiments, findings, and implementation details to ensure maintainability and knowledge sharing across teams
    • Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
    Required Qualifications:
    • Bachelor''s or Master''s degree in Computer Science, Data Science, Statistics, or a related field
    • 5+ years of experience in Data Science, AI/ML, or a similar role, with 2+ years in leadership roles
    • Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
    • Experience Clinical Trials | FDA Dossier Preparation | Drug Discovery | Lab Information Management Systems (LIMS) - any AI enablement | Lab Diagnostics | Lab testing - test Codes | Patient Schedule Optimization
    • Hands-on experience in delivering production-grade AI/ML projects
    • Solid programming skills in Python, with experience in pandas, numpy, and SQL
    • Solid understanding of mathematical and statistical concepts
    • Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
    • Proven excellent problem-solving and analytical thinking skills
    • Proven solid communication and collaboration skills to work effectively in a team environment

    Preferred Qualifications:
    • Familiarity with the US Healthcare domain
    • Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)

    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.

    Sourced from naukri

    Skills

    Automationcoding standardsclinical trialsdata preparationcloud nativeamazon web servicesBusiness RequirementsbigqueryData StreamingdeploymentDatabricksData EngineeringcloudArchitectureData ProcessingMicrosoft AzureBig DataData ScienceArtificial Intelligence

    About Optum Global Solutions

    Optum Global Solutions logo

    Optum Global Solutions

    IT Services & Consulting

    33.0k+

    employees

    2002

    24 years old

    Hyderabad / Secunderabad, Telangana

    India

    ₹11L PA avg

    Avg at Optum Global Solutions

    About

    We are at the helm of a digital health care revolution, which is being accelerated by a combination of technology and talent. We build and deliver end-to-end digital health solutions for our clients.

    Industries

    IT Services & ConsultingHardware & NetworkingHealthcareSoftware Product

    Employee ratings

    10 reviews

    4.0/ 5

    Culture

    3.6

    Career growth

    3.0

    Work-life

    3.6

    Employees rate it well for

    Job Security42Work-Life Balance41

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