About the role

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.

Primary Responsibilities:

Build and maintain end-to-end ML pipelines (data preparation, feature engineering, model training, evaluation, and deployment)
Work with healthcare data such as EHR/EMR, claims, and clinical text to generate insights and support analytics solutions
Apply AI/ML techniques including NLP, deep learning, and predictive modeling to solve business and clinical problems
Collaborate with cross-functional teams to translate requirements into scalable AI-driven solutions
Communicate model outcomes and analytical insights to stakeholders in a clear and structured manner
Adhere to engineering standards, MLOps practices, and healthcare compliance requirements (e.g., HIPAA)
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 regard 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:

Bachelor degree in Computer Science, AI/ML, Data Science, Statistics, or related field
1+ years of experience in machine learning, AI development, GenAI, RAG or data-driven engineering roles
Proficiency in Python and experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch
Solid understanding of machine learning fundamentals, statistics, and data modeling concepts
Experience with data tools such as Pandas, NumPy, and SQL

Required Qualifications:

Familiarity with cloud platforms (Azure/AWS/GCP) and basic deployment concepts

Exposure to healthcare data/systems (EHR, claims, clinical datasets