Cigna Evernorth
Machine Learning Analyst
About this role
Evernorth, a division of The Cigna Group, builds pharmacy, care and benefits solutions. The AI Centre of Excellence team in Hyderabad is hiring a full-stack engineer to build AI platforms using LLMs and other generative AI capabilities. The work spans React-based user interfaces, APIs for platform integration, and ML and document-processing pipelines. The person works with business partners and IT teams in an Agile setup and supports solutions through the development life cycle. It suits engineers with a couple of years of experience and full-stack exposure; some overlap with US hours is expected.
Cigna Evernorth is hiring for Machine Learning Analyst, a full-time role based in Hyderabad.
Who can apply: 2+ years. Skills: Python, React, AWS SageMaker, LLMs, MLOps.
Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.
What you'll do
- Design, implement and deploy scalable AI solutions focused on privacy, security and fairness
- Build AI platforms using LLMs and other Gen AI capabilities
- Provide design solutions for portal integrations, enhancements and automation requests
- Work with business partners and IT team members to understand system requirements
- Monitor and maintain supported assets for performance, availability, security and capacity
What you need
- Degree in Computer Science, Artificial Intelligence or a related field
- 2+ years of total experience
- 1+ years of full-stack development (frontend, backend and cloud)
- Skills in Python, JavaScript, Go and React
- Familiarity with cloud platforms, preferably AWS (SageMaker, ECS, GitHub pipelines, MLOps)
- Strong communication skills and experience with the software development life cycle
- Location
- Hyderabad
- Work mode
- See listing
- Experience
- 2+ years
- Pay
- ₹10–18 LPA (Est.)
- Type
- Full-time job, AI & ML
- Added
- 27 October 2026
Skills
- Python
- React
- AWS SageMaker
- LLMs
- MLOps
"Est." = Hirastra's estimate based on market data, not an official figure.
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