Lead AI/ML Engineer

15 hours ago

Bangalore, India Optum Full time

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.

We are looking for a versatile Lead AI/ML Engineer to join the Our team, contributing to the design and deployment of scalable AI solutions across the full stack. This role blends machine learning engineering with frontend/backend development and cloud native microservices. You’ll work closely with data scientists, MLOps engineers, and product teams to bring generative AI capabilities like RAG and LLM based systems into production.

Primary Responsibilities:

  • Lead and conduct cutting-edge research in deep learning, foundation models, reinforcement learning, or multimodal AI to drive innovation in healthcare
  • Lead the design, development, and deployment of AI and generative AI solutions to solve complex challenges in healthcare, especially within Safety, Regulatory, and Clinical operations
  • Collaborate with cross-functional healthcare teams to integrate cloud computing and automation into digital health products and services
  • Stay current with innovations in AI, cloud, and automation, applying them to enhance healthcare technology offerings
  • Define and manage product roadmaps that align with patient needs, clinical workflows, and healthcare market trends
  • Work closely with data scientists and engineers to gather and refine technical requirements for healthcare applications
  • Improve scalability and performance of healthcare solutions using cloud infrastructure and automation tools
  • Analyze clinical performance data and user feedback to drive continuous product improvement
  • Mentor junior engineers, fostering a culture of innovation, learning, and technical excellence in healthcare tech
  • Communicate product vision and progress to stakeholders, ensuring alignment with healthcare business goals
  • Integrate text, image, and audio data using multimodal transformers to create comprehensive models for healthcare applications
  • Develop graph-based RAG systems for contextual reasoning and incorporate knowledge connections from graph neural networks
  • Design and implement real-time RAG systems to handle dynamic and up-to-date healthcare information
  • Develop and fine-tune large language models (LLMs), diffusion models, and multi-agent systems
  • 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,

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