Associate AI/ML Engineer

Company Description Optum, part of UnitedHealth Group (NYSE: UNH), is committed to evolving health care so more people can live their healthiest lives. The organization focuses on making health care easier to access and more affordable, placing each person’s unique needs at the center of its services. Optum delivers the right care when and how it is needed, supports smarter and healthier choices, and simplifies prescription services to help people save money. Team members contribute to building a more integrated, effective health care experience for individuals and communities. Joining Optum means working in a collaborative environment dedicated to better health for all.
Role Description The Associate AI/ML Engineer is a full-time, on-site role based in the Greater Delhi Area. This role involves designing, implementing, and testing machine learning models that support health care analytics, clinical decision support, and operational efficiency. Day-to-day responsibilities include data preprocessing, feature engineering, model training and evaluation, and collaborating with cross-functional teams such as data engineers, product managers, and clinicians. The Associate AI/ML Engineer will contribute to building scalable algorithms, optimizing model performance, and documenting technical solutions and processes. The role also includes staying current with AI/ML best practices, participating in code reviews, and supporting deployment of models into production environments.
Qualifications
Knowledge of AI ML, Generative AI and Agentic AI, LLMs, RAG
5-7years of relevant experience of coding in JAVA
Knowledge of RPA tools like Power Automate and UIPath
Good understanding of .net(C#, VBA)
Excellent Communication Skills
Strong foundation in Computer Science and Algorithms, with the ability to design and analyze efficient solutions.
Knowledge of Statistics and Pattern Recognition for developing robust, data-driven models.
Understanding of Neural Networks and modern machine learning techniques for real-world applications.
Experience with programming languages commonly used in AI/ML (such as Python or R) and relevant libraries or frameworks (such as TensorFlow, PyTorch, or scikit-learn).
Familiarity with data preprocessing, feature engineering, and model evaluation on large, complex datasets.
Ability to work collaboratively in multidisciplinary teams and communicate technical concepts clearly to non-technical stakeholders.
Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related field; relevant internships or academic projects are an advantage.
Interest in health care and a commitment to using AI/ML to improve patient outcomes and system efficiency.

Work arrangement
No