remote
Lead AI/ML Engineer - AWS Connect Remote - Optum
ML Engineer
Lead the design and delivery of scalable voice and chat solutions on Amazon Connect, driving AI/ML innovations that improve patient engagement and health outcomes using Python, AWS services, and NLP techniques.
About the role
Key Responsibilities
- Architect, develop, and maintain end‑to‑end voice and chat solutions on Amazon Connect, including contact flows, routing, and integration with backend systems.
- Design and implement AI/ML models (e.g., intent classification, sentiment analysis) to enhance conversational experiences and automate routine interactions.
- Collaborate with product, data, and operations teams to define requirements, create prototypes, and iterate on solutions that meet healthcare compliance and performance standards.
- Lead code reviews, establish CI/CD pipelines, and enforce best practices for security, scalability, and reliability in a cloud‑native environment.
- Mentor junior engineers, foster knowledge sharing, and drive continuous improvement of the AI/ML development process.
Requirements
- 5+ years of professional experience building large‑scale solutions on AWS, with deep expertise in Amazon Connect.
- Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
- Hands‑on experience applying Natural Language Processing techniques to voice or chat applications.
- Proven ability to design, deploy, and monitor serverless architectures using services like Lambda, API Gateway, and CloudFormation.
- Excellent problem‑solving skills, communication abilities, and a track record of leading technical teams in an agile environment.
Skills
awspythonmachine learningnatural language processing