1. Design and implement scalable ML solutions using state-of-the-art generative models
2. Fine-tune and optimize large language models (LLMs) for domain-specific applications
3. Collaborate with cross-functional teams to integrate AI capabilities into products and services
4. Conduct research and stay up-to-date with the latest advancements in generative AI and deep learning
5. Develop pipelines for data preprocessing, model training, evaluation, and deployment
6. Ensure model performance, fairness, and interpretability through rigorous testing and validation
7. Mentor junior engineers and contribute to knowledge sharing within the team
8. 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.

Role: Machine Learning Engineer

Industry Type: Retail

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate

About the company

India is home to the largest technology team for Optum outside of the US. We pursue technology as a unifying force, bringing together deep industry expertise with big data, advanced analytics, reengineering and automation, and emerging technology. By adopting technologies such as artificial intelligence, deep learning and natural language processing, we deliver quality, innovation, speed and scale through our comprehensive IT delivery, product and data engineering, and advanced research and predictive analytics capabilities.

The operations teams in India work on transformative solutions across product/benefit configuration, network management, end-to-end claims processing — including appeals and grievances, billing & enrollment, medical coding, revenue cycle management, and provider data operations. Our teams are enabled by transformational capabilities in business excellence, operational excellence, learning and development, transitions, business quality and workforce management functions.