AI/ML Engineer

Role Overview: As a member of the Optum global organization, you will be part of a team that aims to improve health outcomes by utilizing technology to connect individuals with the necessary care, pharmacy benefits, and resources to enhance their well-being. The culture at Optum is characterized by inclusion, talented colleagues, attractive benefits, and ample opportunities for career development. Your contribution will play a vital role in advancing health optimization on a global scale, making a positive impact on the communities served by the organization. Key Responsibilities: - Lead applied research in LLMs, generative AI, and multimodal models - Evaluate and experiment with state-of-the-art architectures such as Transformers, Diffusion Models, and Retrieval-Augmented Generation - Publish internal whitepapers and contribute to external conferences as applicable - Design and implement scalable AIML pipelines using frameworks like PyTorch, TensorFlow, Hugging Face, and MLflow - Collaborate with engineering teams to deploy models into production using MLOps best practices including CI/CD, model versioning, and monitoring - Evaluate and integrate advanced AIML tools like GitHub Copilot, Windsurf, Vertex AI, Azure OpenAI, and Hugging Face Transformers - Work with cloud platforms (AWS, Azure, GCP) to ensure scalable and secure model deployment - Architect end-to-end AIML systems encompassing data ingestion, model training, inference, and feedback loops - Partner with enterprise architects and product leaders to align AIML capabilities with business goals - Mentor junior engineers and researchers - Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders Qualifications Required: - Bachelor's or Relevant in Computer Science, Machine Learning, or related field - 4+ years of experience in AIML engineering and research - Experience with experiment tracking tools such as Weights & Biases, MLflow - Hands-on experience with MLOps, model deployment, and monitoring - Familiarity with AIML governance, ethics, and responsible AI practices - Proven expertise in LLMs, generative AI, and deep learning - Solid programming skills in Python and familiarity with ML libraries like scikit-learn and Keras Company Details: At UnitedHealth Group, the mission is centered around helping individuals lead healthier lives and improving the functionality of the health system for all. The commitment to addressing health disparities, improving health outcomes, and delivering equitable care is a top priority reflected in the company's mission. UnitedHealth Group aims to mitigate its impact on the environment while ensuring that everyone, regardless of race, gender, sexuality, age, location, or income, has the opportunity to live their healthiest life. Role Overview: As a member of the Optum global organization, you will be part of a team that aims to improve health outcomes by utilizing technology to connect individuals with the necessary care, pharmacy benefits, and resources to enhance their well-being. The culture at Optum is characterized by inclusion, talented colleagues, attractive benefits, and ample opportunities for career development. Your contribution will play a vital role in advancing health optimization on a global scale, making a positive impact on the communities served by the organization. Key Responsibilities: - Lead applied research in LLMs, generative AI, and multimodal models - Evaluate and experiment with state-of-the-art architectures such as Transformers, Diffusion Models, and Retrieval-Augmented Generation - Publish internal whitepapers and contribute to external conferences as applicable - Design and implement scalable AIML pipelines using frameworks like PyTorch, TensorFlow, Hugging Face, and MLflow - Collaborate with engineering teams to deploy models into production using MLOps best practices including CI/CD, model versioning, and monitoring - Evaluate and integrate advanced AIML tools like GitHub Copilot, Windsurf, Vertex AI, Azure OpenAI, and Hugging Face Transformers - Work with cloud platforms (AWS, Azure, GCP) to ensure scalable and secure model deployment - Architect end-to-end AIML systems encompassing data ingestion, model training, inference, and feedback loops - Partner with enterprise architects and product leaders to align AIML capabilities with business goals - Mentor junior engineers and researchers - Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders Qualifications Required: - Bachelor's or Relevant in Computer Science, Machine Learning, or related field - 4+ years of experience in AIML engineering and research - Experience with experiment tracking tools such as Weights & Biases, MLflow - Hands-on experience with MLOps, model deployment, and monitoring - Familiarity with AIML governance, ethics, and responsible AI practices - Proven expertise in LLMs, generative AI, and deep l