ApplySarthi

Machine Learning Lead Analyst - HIH - Evernorth

Cigna

Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.

Got this interview? Our apps help you get the job.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

79 open evernorth roles across 2 companies are on ApplySarthi right now, most of them in Hyderabad (40).

What evernorth roles keep asking for: AWS (30%), Python (30%), Agile (29%), SQL (24%), CI/CD (19%), Generative AI (18%), Databricks (15%), Azure (14%) — counted across their open postings here.

AWS jobs · Databricks jobs · Generative AI jobs · LLMs jobs

Cigna has 558 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for evernorth roles keep coming back to AWS, Python, Agile, SQL. Practise those questions before you sit with Cigna.

Questions you are likely to be asked

  1. Why do you want to join Cigna?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. How did you know your model was actually good, and not just good on your test set?
  4. Tell me about a time the data was messy or wrong. What did you do?
  5. How would you explain your model's result to someone who is not technical?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Machine Learning Lead Analyst - HIH - Evernorth at Cigna interview free →

INTRODUCTION TO EVERNORTH: Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The innovation hub will support innovation-focused areas, such as generative AI, product development, process improvement, analytics, and software engineering across The Cigna Group and its businesses. Evernorth Health Services India builds on The Cigna Group’s existing presence in India. About Evernorth Health Services: Evernorth Health Services (Evernorth) is the pharmacy, care and benefits solution division of The Cigna Group - a Fortune 16 global health company with 75,000 employees, 186 million customers in more than 30 countries and jurisdictions around the world. Evernorth exists to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. We do this by creating and connecting premier health services offerings, such as benefits management, pharmacy, care solutions, insights and intelligence. About Cigna: The Cigna Group is a global health company committed to improving the health and vitality of individuals and communities around the world and includes products and services marketed under its Cigna Healthcare and Evernorth Health Services subsidiaries. Cigna Healthcare is the health benefits provider of The Cigna Group, serving customers and clients through its U.S. Employer, U.S. Government, and International Health business. Evernorth Health Services is the pharmacy, care and benefits solution division of The Cigna Group. Position Overview We're seeking a talented AI/ML Engineer to design, develop, and deploy cutting-edge AI and machine learning solutions. You'll work with state-of-the-art models and technologies, contributing to projects that have the potential to revolutionize industries. Roles & Responsibilities Design and implement AI/ML models using various frameworks and libraries. Work with large language models (LLMs) from providers like OpenAI and AnthropicDevelop and optimize RAG (Retrieval-Augmented Generation) systems. Collaborate with cross-functional teams to integrate AI capabilities into our applications. Conduct experiments and analyze results to improve model performance. Stay updated with the latest advancements in AI/ML and propose innovative solutions Qualifications Required Experience & Skills: 7 to 8 years of development experience. Strong proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow). 5+ years of experience working with large language models (e.g., GPT-4, Claude). Familiarity with RAG systems and related technologies. Strong understanding of machine learning concepts and algorithms. Experience with cloud-based ML platforms (e.g., AWS SageMaker, Databricks)Proficiency in data preprocessing and feature engineering Preferred Experience & Skills: Advanced degree in Computer Science, AI, or a related field. Experience with graph databases (e.g., Neo4j) and knowledge graphs. Familiarity with MLOps practices and tools. Experience with GPU acceleration and distributed computing Contributions to AI/ML open-source projects or research publications Location & Hours of Work: Hyderabad and Hybrid (2:30 PM IST to 11:30 PM IST) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on workday · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by Cigna, not by us.