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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
- Help design and develop the next generation of ML & AI products, and identity services for healthcare
- Develop and deploy machine learning models and algorithms for real-time data insights and threat analytics in the AWS environment
- Collaborate with data engineering teams to integrate machine learning pipelines into the data analytics platform and improve the scalability of the models
- Conduct research to identify new techniques for detecting anomalous patterns and potential threats across business, system, and security events
- Create APIs and deploy machine learning models in production for continuous learning and updating, leveraging AWS services like SageMaker, Lambda, and Step Functions
- Collaborate with data scientists, analysts, and security teams to define model requirements and objectives
- Monitor, troubleshoot, and optimize model performance in production, ensuring they meet performance and accuracy standards
- Design model governance processes and participate in model validation for compliance and security standards
- Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome
- 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:
- B.Tech/BE/MCA or Master’s degree or equivalent experience
- 10+ years of total experience
- 3+ years of experience in machine learning and AI model development, particularly in real-time analytics or threat detection
- Hands-on expertise in developing and deploying machine learning models on AWS services like SageMaker, Lambda, Kinesis, Glue, Rekognition, Lex, Chatbot, Terraform and Redshift
- Experience with data preprocessing, feature engineering, model training, and deployment
- Familiarity with containerization and orchestration using Docker and Kubernetes in an AWS environment
- Solid proficiency in Python, SQL, and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
- Proficiency in developing and monitoring machine learning models in production, especially in high-availability, low-latency environments
- Proven excellent problem-solving skills, ability to troubleshoot, resolve complex data-related issues, solid analytical, excellent communication and decision-making skills are essential
Preferred Qualifications:
- Experience with anomaly detection models, NLP for security threat analysis, or other security-focused AI/ML solutions
- Knowledge of cloud security best practices and understanding of AWS security tools (e.g., AWS Security Hub, IAM)
- Background in data engineering, with experience in ETL workflows, data pipelines, and streaming data
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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