Associate 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 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. AI/ML Engineers code and develop software that deploys ML models and algorithms in production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employee AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). Applies deep learning technologies to give computers that capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages. AI/ML Applied Scientists specialize in advancing and applying artificial intelligence through research-driven, experimental research, and translate research findings into practical AI solutions for the organization.

Assist in the design, development, testing, and deployment of AI/ML solutions using Python and modern machine learning frameworks Support data preparation, exploratory data analysis (EDA), feature engineering, model training, and validation activities Develop and maintain machine learning models using tools such as Scikit-Learn, TensorFlow, or PyTorch Collaborate with data engineers and data scientists to build scalable data pipelines and AI-enabled applications Participate in model performance monitoring, drift analysis, and continuous improvement of deployed models Support implementation of ML workflows, experiment tracking, and model documentation to ensure reproducibility and maintainability Work with cross-functional teams to understand business requirements and translate them into AI/ML solutions Contribute to the adoption of Responsible AI practices, ensuring fairness, reliability, explainability, and data privacy Create and maintain technical documentation, project artifacts, and knowledge-sharing materials Basic, structured, standard approach to work 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: Graduate degree or equivalent experience Bachelor's degree Master's in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related discipline 1+ years of hands-on experience in AI/ML, Data Science, Analytics, or a related field Working knowledge of SQL and data manipulation libraries such as Pandas and NumPy Understanding of machine learning concepts including supervised learning,