Machine Learning Senior Analyst - HIH - Evernorth

Cigna; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Evernorth Health Services India, part of The Cigna Group, seeks a Machine Learning Senior Analyst to develop and deploy scalable AI/ML solutions for healthcare use cases, including document processing, analytics, and intelligent automation.

You will collaborate with senior engineers, product teams, and business stakeholders to build, test, and deploy models, with emphasis on privacy, security, and responsible AI principles. Proficiency in Python and ML libraries is required.

Qualifications

• 4–5 years of experience in Machine Learning / Data Science / AI domain.
• Hands-on experience with LangChain, LangGraph or similar orchestration tools.
• Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn.
• Basic understanding of ML concepts (classification, regression, clustering, NLP).
• Exposure to model development lifecycle (data prep, training, evaluation).
• Experience working in a team environment on shared deliverables.

Responsibilities

• Develop and implement ML models under guidance to solve healthcare problems.
• Data preprocessing, feature engineering, and model evaluation within AI/ML pipelines.
• Integrate ML solutions with APIs and applications.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Support privacy, security, and responsible AI principles in solutions.
• Work with structured and unstructured data, including text data for NLP use cases.
• Optimize model performance and accuracy through iterative testing.
• Create basic dashboards, reports, or visualizations to present insights.
• Participate in code reviews, testing, and debugging for quality delivery.
• Document solutions and workflows for reuse and knowledge sharing.
• Design and optimize prompts for LLMs in Generative AI contexts.
• Build Retrieval-Augmented Generation pipelines for document Q&A and knowledge retrieval.

Skills

Python

Pandas

NumPy

Scikit-learn

LangChain

LangGraph

NLP basics

Team collaboration

Education

Bachelor's or Master's in Computer Science / Data Science / AI

Tools

SageMaker

Lambda

Bedrock

S3

PyTorch

TensorFlow

Azure

GCP

Job description

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 Summary

You will be part of a team focused on transforming healthcare and improving the lives of millions of members through innovative AI/ML solutions. The role involves developing and supporting machine learning models and data-driven solutions for use cases such as document processing, analytics, and intelligent automation.

As a Machine Learning Senior Analyst, you will work closely with senior engineers, product teams, and business stakeholders to build, test, and deploy scalable AI solutions. This role requires strong analytical thinking, foundational machine learning skills, and a passion for solving real-world healthcare problems.

Job Description & Responsibilities

• Develop and implement machine learning models under guidance to solve business problems in healthcare.
• Work on data preprocessing, feature engineering, and model evaluation as part of AI/ML pipelines.
• Assist in building and integrating ML solutions with APIs and applications.
• Collaborate with cross-functional teams (engineering, product, data teams) to understand requirements and deliver solutions.
• Support development of AI solutions that adhere to privacy, security, and responsible AI principles.
• Work with structured and unstructured data, including text data for NLP use cases.
• Assist in optimizing model performance and improving accuracy through iterative testing.
• Create basic dashboards, reports, or visualizations to present insights.
• Participate in code reviews, testing, and debugging to ensure quality delivery.
• Document solutions, workflows, and model behavior for reuse and knowledge sharing.

Experience Required

• 4-5 years of experience in Machine Learning / Data Science / AI domain.
• Develop and support agentic AI workflows using frameworks such as LangChain, LangGraph, or similar orchestration tools.
• Hands-on experience with Python and libraries such as Pandas, NumPy, Scikit-learn.
• Basic understanding of machine learning concepts such as classification, regression, clustering, and NLP.
• Exposure to model development lifecycle (data preparation, training, evaluation).
• Experience working in a team environment on shared deliverables or projects.

Generative AI & LLM Responsibilities

• Design and optimize prompts for Large Language Models (LLMs) to achieve desired outputs for various use cases.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines for document Q&A, knowledge retrieval, and contextual response generation.
• Develop and support agentic AI workflows using frameworks such as LangChain, LangGraph, or similar orchestration tools.
• Implement and manage ETL pipelines for data ingestion, transformation, and preparation for ML/GenAI workloads.
• Deploy and manage AI/ML solutions on AWS cloud infrastructure (SageMaker, Lambda, Bedrock, S3, etc.).
• Monitor and evaluate LLM performance, including response quality, latency, and cost optimization.

Experience Desired

• Exposure to Generative AI / LLM concepts and prompt engineering.
• Familiarity with frameworks such as PyTorch or TensorFlow.
• Experience with APIs, data integration, or cloud platforms (Azure/AWS/GCP).
• Knowledge of vector databases or basic information retrieval concepts.
• Experience working with data formats like CSV, JSON, or documents (PDF, Word).

Education and Training Required

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related fie