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Cigna
Cigna

Global health services company

Software Engineering Lead Analyst - HIH - Evernorth at Cigna

RoleMachine Learning
LevelLead
LocationHyderabad, India
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

ABOUT EVERNORTH:

Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,
we solve the problems others don’t, won’t or can’t.

Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.

We are always looking upward. And that starts with finding the right talent to help us get there.

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 Anthropic Develop 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:

  • 6 to 8 years of development experience.

  • Strong proficiency in Python and AI/ML libraries (e.g., Py Torch, Tensor Flow).

  • 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

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.

Required skills

Python

Machine learning

LLMs

RAG

Model evaluation

Application integration

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About Cigna

Cigna

Cigna

Public

The Cigna Group is an American multinational for-profit managed healthcare and insurance company based in Bloomfield, Connecticut.

10,001+

Employees

Bloomfield

Headquarters

$54B

Valuation

Reviews

10 reviews

3.7

10 reviews

Work-life balance

4.2

Compensation

2.8

Culture

4.1

Career

3.5

Management

3.2

65%

Recommend to a friend

Pros

Good work-life balance and flexible hours

Supportive and friendly coworkers

Excellent health benefits and vacation time

Cons

Low compensation and non-competitive pay

Poor management and lack of transparency

Limited career advancement opportunities

Salary Ranges

36 data points

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

L3

L4

L5

Junior/L3 · Lead Analyst

0 reports

$105,250

total per year

Base

-

Stock

-

Bonus

-

$89,462

$121,038

Interview experience

2 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview process

1

Application Review

2

Recruiter Screen

3

Team Member Screen

4

Technical Assessment

5

Final Round Interview

6

Offer

Common questions

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit