Software Engineering Senior Analyst – HIH – Evernoth

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

Evernorth, a leading health services organization,seeks highly skilled Cloud AI/ML Engineers to join our team. In this position, you will collaborate closely with your development team on projects aligned with Evernorth’s strategic objectives and work alongside subject matter experts to accurately interpret business logic for engineering purposes. The ideal candidate will refactor and wrap models provided by Data Scientists into production-ready batch processing jobs.The Engineer will collaborate with ML operations team in monitoring the performance of the ML models. The role operates within an agile environment, delivering business-centric solutions.

Responsibilities

• Implement and maintain ML models using CI/CD pipelines

• Refactor code to meet enterprise software standards(error handling, logging and performance)

• Optimize compute resources to ensure models respond quickly while keeping AWS costs low.

• Troubleshoot and resolve issues related to model deployment and performance

• Ensure compliance with security and data privacy standards in all implementation activities.

• Keep up-to-date with the latest AL/ML tools, technologies and trends.

• Support existing ML models and other cloud applications as needed.

• Apply Agile principles in design, development, and delivery.

• Collaborate effectively in a high-performing team environment.

• Demonstrate ownership, innovation, and a proactive approach to problem-solving.

Qualifications

Education:

· Degree in Computer Science, Artificial Intelligence, or a related field.

Experience:

· Minimum of 11-13 years of experience in Workforce Management.

Skills:

• 4+ years of working experience with operationalizing Machine learning models

• 4+ years being part of Agile teams – Scrum or Kanban

• Proficiency in programming languages such as Python, PySpark, Spark/Scala

• 4+ years of solution architecting in cloud technology (eg. AWS, Azure, google cloud)

• 4+ Years of working experience with Machine Learning frameworks (Scikit-learn, PyTorch , Spark ML)

• 4+ years of working experience with healthcare domain data and integrating them as key features (feature engineering) within predictive models

• Experience with database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j,

• Cassandra

• Experience with Github/SVN

• Strong understanding of machine learning principles and model lifecycle management

• Desired Experience:

• Experience with Databricks

• Familiarity in scripting (JavaScript, R, Ruby, Perl, etc.)

• Gen AI,LLM Implementation & LLM Orchestration
  

• Skills/Certifications/Licenses:

• Nice to have AWS solution architecture and developer certification

  Nice to data science and Machine learning certification from a reputed institution

Work Hours:

· 11.30AM IST to 8.30PM 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