Sr AI/ML Engineer - Remote Nationwide or Hybrid in MN/DC

Descrição da Vaga

Requisitos

• Undergraduate degree or equivalent experience
• 3+ years of experience in Python programming
• 2+ years of experience with Deploying and manage ML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP)
• 2+ years of experience developing Voice bots
• 1+ years DevOps experience
• 1+ years of experience with Terraform scripts
• 1+ years of Git action and CI/CD experience
• Prompt engineering experience
• Experience leveraging Large Language Models (LLMs)
• Experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology
• Experience with the challenges of delivering and monitoring LLM based cloud systems into production
• Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences

Responsabilidades

• We’re looking for a hands-on technical leader to design, build, and productionize AI/ML and GenAI solutions that improve healthcare operations and patient outcomes
• You will own end-to-end delivery-from problem framing and data pipelines to models, and ongoing monitoring-while mentoring a small team and partnering with product, data engineering, and clinical/operations stakeholders
• You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in
• Lead and contribute to the design and hands-on implementation of AI/ML systems that enables Optum to deliver self-service voice bot solutions
• Design, develop, and implement models using GenAI (LLMs, agentic frameworks) and/or traditional ML on the cloud
• Utilize version control tools such as GitHub for code management and collaboration, and manage multiple activities in a fast-paced environment while adhering to best practices in coding and documentation
• Partner with product managers, data scientists, prompt designers, engineers, and business stakeholders to translate business requirements into scalable AI voice bot systems
• Leverage AI assisted tools for design, implementation, code reviews, and testing
• Ensure the delivery of high-quality, maintainable, and efficient code and specifications
• Lead by example to deliver product quality the first time
• Drive the full lifecycle of AI/ML initiatives-from problem definition and data exploration to agent development, deployment, and monitoring
• Define project scope, success metrics, and timelines in collaboration with cross-functional teams and ensure timely delivery while not compromising on quality
• Stay ahead of the curve on emerging AI/ML technologies, tools, and research, and evaluate their applicability to business problems
• Embrace and promote a culture of innovation through rapid iteration, experimentation and data driven decision-making
• Be a trusted technical advisor to management, internal stakeholders, and customers
• Mentor and lead other engineers to reach their potential
• Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle

Benefícios