Senior Software Engineer II - AI/ML Engineer

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.

The Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions. We're Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys. As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving UnitedHealth Group's digital technology needs, the Consumer Engineering team impacts millions of lives through UnitedHealthcare & Optum.

We are seeking a dynamic individual who embodies modern engineering culture - someone with deep engineering expertise within a digital product model, a passion for innovation, and a relentless drive to enhance the consumer experience. Our ideal candidate thrives in an agile, fast-paced rapid-prototyping environment, embraces DevOps and continuous integration/continuous deployment (CI/CD) practices, and champions the Voice of the Customer. If you are driven by the pursuit of excellence, eager to innovate, and excited to make a tangible impact within a team that embraces modern technologies and consumer-centric strategies, while prioritizing robust cyber-security protocols, we invite you to explore this exciting opportunity with us. Join our team and be at the forefront of shaping the future of healthcare, where your unique skills will not only be recognized but celebrated.

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

#LETSGROW 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.