Machine Learning Lead Analyst - HIH - Evernorth

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

Were seeking a talented AI/ML Engineer to design, develop, and deploy cutting-edge AI and machine learning solutions. Youll 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 (eg, PyTorch, TensorFlow).
• 5+ years of experience working with large language models (eg, GPT-4, Claude).
• Familiarity with RAG systems and related technologies.
• Strong understanding of machine learning concepts and algorithms.
• Experience with cloud-based ML platforms (eg, 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 (eg, 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.