onsite
Machine Learning Analyst - The Cigna Group
ML Engineer
Machine Learning Analyst responsible for building foundational AI/ML capabilities, designing UI/API integrations for large language models, and guiding cloud architecture decisions using Python, JavaScript, and AWS.
About the role
Key Responsibilities
- Design and implement end‑to‑end AI/ML solutions, including prompt engineering and integration of large language models into platform APIs.
- Develop full‑stack components (frontend UI and backend services) to expose generative AI functionality to internal teams.
- Define and codify reusable architectural patterns, best practices, and reference implementations for AI‑enabled services.
- Evaluate, select, and configure cloud services (AWS, Azure, GCP) to support scalable, secure AI workloads.
- Collaborate with product, engineering, and data science teams to translate business requirements into technical specifications and deliver production‑ready features.
Requirements
- 3–5 years of professional experience in full‑stack development with strong proficiency in Python and JavaScript/Node.js.
- Hands‑on experience building, deploying, and fine‑tuning machine‑learning models, particularly large language models or generative AI.
- Demonstrated ability to design and implement RESTful APIs and UI components that consume AI services.
- Practical knowledge of cloud platforms (AWS preferred) and infrastructure‑as‑code tools for scalable AI deployments.
- Strong problem‑solving skills, ability to lead technical decisions, and excellent communication with cross‑functional teams.
Skills
pythonjavascriptnodejsmachine learningaws