refresh

트렌딩 기업

트렌딩 기업

채용

채용Cigna

Machine Learning Lead Analyst - HIH - Evernorth

Cigna

Machine Learning Lead Analyst - HIH - Evernorth

Cigna

Hyderabad, India

·

On-site

·

Full-time

·

Today

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.

Job Title: Machine Learning Lead Analyst Responsibilities

  • Design, develop, and deploy Gen AI/ML applications with a focus on embeddings and vector databases.

  • Implement and optimize machine learning algorithms for various applications, including natural language processing and computer vision.

  • Develop and maintain scalable applications that leverage AI/ML models and vector databases.

  • Collaborate with data scientists, software engineers, and other stakeholders to integrate AI/ML solutions into existing systems.

  • Conduct research and stay current with the latest advancements in AI/ML, embeddings, and vector databases.

  • Optimize the performance and scalability of AI/ML models and applications.

  • Ensure data quality, integrity, and security throughout the AI/ML lifecycle.

  • Provide technical guidance and support to team members and stakeholders.

Qualifications Required Skills:

  • Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field; Master’s degree preferred.

  • Proven experience as an AI/ML Engineer or similar role, with a focus on embeddings and vector databases.

  • Strong understanding of machine learning principles, algorithms, and frameworks.

  • Proficiency in programming languages such as Python, Java, or C++.

  • Experience with AI/ML frameworks and libraries (e.g., Tensor Flow, Py Torch, scikit-learn).

  • Hands-on experience with vector databases (e.g., Faiss, Milvus, Pinecone).

  • Familiarity with natural language processing techniques and tools.

  • Experience in developing and deploying scalable applications.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication and collaboration skills.

Required Experience & Education:

  • Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field; Master’s degree preferred.

  • Proven experience as an AI/ML Engineer or similar role, with a focus on embeddings and vector databases.

  • Strong understanding of machine learning principles, algorithms, and frameworks.

  • Proficiency in programming languages such as Python, Java, or C++.

  • Experience with AI/ML frameworks and libraries.

  • Hands-on experience with vector databases (e.g., Faiss, Milvus).

  • Familiarity with natural language processing techniques and tools.

  • Experience in developing and deploying scalable applications.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication and collaboration skills.

Desired Experience:

  • Knowledge of data security and compliance requirements.

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

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.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Cigna 소개

Cigna

Cigna

Public

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

10,001+

직원 수

Bloomfield

본사 위치

$54B

기업 가치

리뷰

3.7

10개 리뷰

워라밸

4.2

보상

2.8

문화

4.1

커리어

3.5

경영진

3.2

65%

친구에게 추천

장점

Good work-life balance and flexible hours

Supportive and friendly coworkers

Excellent health benefits and vacation time

단점

Low compensation and non-competitive pay

Poor management and lack of transparency

Limited career advancement opportunities

연봉 정보

38개 데이터

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

Junior/L3 · Lead Analyst

0개 리포트

$105,250

총 연봉

기본급

-

주식

-

보너스

-

$89,462

$121,038

면접 경험

2개 면접

난이도

3.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 50%

부정 50%

면접 과정

1

Application Review

2

Recruiter Screen

3

Team Member Screen

4

Technical Assessment

5

Final Round Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit