Lead applied research and engineering for LLMs, generative AI, and multimodal models. Design scalable AI/ML pipelines and end-to-end systems, deploy models using MLOps practices, integrate AI tools and cloud platforms, and establish monitoring and governance. Develop AI-powered solutions using low-code and advanced platforms, align capabilities with business goals, publish research, and mentor engineers and researchers.
Requisition Number: 2357847
Research & Development
Lead applied research in LLMs, generative AI, and multimodal models.
Evaluate and experiment with state-of-the-art architectures (e.g., Transformers, Diffusion Models, Retrieval-Augmented Generation).
Publish internal whitepapers and contribute to external conferences where applicable.
Engineering & Implementation
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 (CI/CD, model versioning, monitoring).
Tooling & Infrastructure
Evaluate and integrate advanced AIML tools such as 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.
Architecture & Strategy
Architect end-to-end AIML systems including data ingestion, model training, inference, and feedback loops.
Partner with enterprise architects and product leaders to align AIML capabilities with business goals 3.
Mentorship & Collaboration
Mentor junior engineers and researchers.
Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders
Builder Responsibilities:
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
Bachelors Degree in Computer Science, Machine Learning, or related field.
4+ years of experience in AIML engineering and research.
Proven expertise in LLMs, generative AI, and deep learning.
Strong programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras).
Experience with experiment tracking tools (e.g., Weights & Biases, MLflow).
Hands-on experience with MLOps, model deployment, and monitoring.
Familiarity with AIML governance, ethics, and responsible AI practices
Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work. SM
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Research & Development
Lead applied research in LLMs, generative AI, and multimodal models.
Evaluate and experiment with state-of-the-art architectures (e.g., Transformers, Diffusion Models, Retrieval-Augmented Generation).
Publish internal whitepapers and contribute to external conferences where applicable.
Engineering & Implementation
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 (CI/CD, model versioning, monitoring).
Tooling & Infrastructure
Evaluate and integrate advanced AIML tools such as 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.
Architecture & Strategy
Architect end-to-end AIML systems including data ingestion, model training, inference, and feedback loops.
Partner with enterprise architects and product leaders to align AIML capabilities with business goals 3.
Mentorship & Collaboration
Mentor junior engineers and researchers.
Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders
Builder Responsibilities:
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
Bachelors Degree in Computer Science, Machine Learning, or related field.
4+ years of experience in AIML engineering and research.
Proven expertise in LLMs, generative AI, and deep learning.
Strong programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras).
Experience with experiment tracking tools (e.g., Weights & Biases, MLflow).
Hands-on experience with MLOps, model deployment, and monitoring.
Familiarity with AIML governance, ethics, and responsible AI practices
Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work. SM
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Optum New Delhi, Delhi, IND Office
New Delhi, India, India
Similar Jobs at Optum
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads a team of data scientists and oversees the development, deployment, monitoring, and improvement of predictive models and machine learning algorithms. Translates business needs into data-driven solutions, presents complex findings to stakeholders, promotes organizational data literacy, ensures data integrity and privacy compliance, and applies current AI/ML methodologies to complex business problems.
Top Skills:
Ai/MlAutomatic Speech Recognition (Asr)Computer VisionData Analysis SystemsDeep LearningIntent ClassificationLarge-Scale Computing FrameworksNatural Language Processing (Nlp)Natural Language Understanding (Nlu)Semantic Understanding
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead enterprise-scale AI/ML and mathematical optimization initiatives from business problem definition through production deployment. Design hybrid machine learning and optimization solutions using frameworks such as Pyomo, OR-Tools, Gurobi, CPLEX, PyTorch, and TensorFlow. Develop proof-of-concepts, decision systems, MLOps workflows, and production-ready architectures while collaborating with engineering, product, business, and leadership teams. Preferred expertise includes quantum optimization, reinforcement learning, generative AI, healthcare analytics, data platforms, and responsible AI.
Top Skills:
Azure QuantumBigQueryCi/CdCirqCplexCptD-WaveDatabricksFhirGurobiHipaaHitrustHl7IcdKafkaKubeflowMlflowNumpyOr-ToolsPandasPyomoPythonPyTorchQiskitScipySnowflakeSoc 2SQLTensorFlow
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads enterprise AI/ML and mathematical optimization initiatives across healthcare, including solution architecture, hybrid ML-optimization modeling, generative and quantum-inspired AI, solver integration, MLOps, governance, and production deployment. Develops prototypes and reusable frameworks, guides technology adoption, mentors engineers, leads small teams, and partners with business, product, architecture, and engineering stakeholders to deliver scalable, compliant optimization solutions.
Top Skills:
Azure QuantumBigQueryCi/CdCirqCplexD-WaveDatabricksEhrFhirGurobiHipaaHitrustHl7KafkaKubeflowLlmsMlflowMlopsNumpyOr-ToolsPandasPyomoPythonPyTorchQiskitRagSnowflakeSoc 2SQLTensorFlow
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.

