Machine Learning Associate Advisor
Hyderabad, India
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Location & Hours of Work (Specify whether the position is remote, hybrid, in-office and where the role is located as well as the required hours of work) Equal Opportunity Statement
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and implement AI/ML models using various frameworks
Develop and optimize RAG (retrieval-augmented generation) systems
Work with large language models from providers like OpenAI and Anthropic
Integrate AI capabilities into applications with cross-functional teams
Run experiments and analyze results to improve model performance
From the employer’s posting
Design and implement AI/ML models using various frameworks and libraries
Develop and optimize RAG (Retrieval-Augmented Generation) systems
Work with large language models (LLMs) from providers like OpenAI and Anthropic
Collaborate with cross-functional teams to integrate AI capabilities into our applications
Conduct experiments and analyze results to improve model performance
What you’ll bring
All qualificationsCore experience
- 8 to 11 years of development experience
- Strong proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow)
- Experience with graph databases (e.g., Neo4j) and knowledge graphs
- Experience with cloud ML platforms (e.g., AWS SageMaker, Databricks)
Qualification wording
8 to 11 years of development experience
Strong proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow)
Experience with graph databases (e.g., Neo4j) and knowledge graphs
Experience with cloud-based ML platforms (e.g., AWS SageMaker, Databricks)
Tools in this posting
- Python
- AWS
- Databricks
- Neo4j
- SageMaker
- PyTorch
- TensorFlow
Source — Tool mentions in context
- 8 to 11 years of development experience - Strong proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow) - 5+ years of experience working with large language models (e.g., GPT-4, Claude)
- 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
- Familiarity with RAG systems and related technologies - Experience with graph databases (e.g., Neo4j) and knowledge graphs - Strong understanding of machine learning concepts and algorithms
About Cigna
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality.
In the employer’s words · Read in context
Posting record
Report an errorOpen 6 monthsWe first saw this posting 200 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 12, 2026 · 200 days ago
- Recorded sightings
- 316
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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:
- 8 to 11 years of development experience
- Strong proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow)
- 5+ years of experience working with large language models (e.g., GPT-4, Claude)
- Familiarity with RAG systems and related technologies
- Experience with graph databases (e.g., Neo4j) and knowledge graphs
- 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
- 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
(Specify whether the position is remote, hybrid, in-office and where the role is located as well as the required hours of work)
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.
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, India
Location & Hours of Work (Specify whether the position is remote, hybrid, in-office and where the role is located as well as the required hours of work) Equal Opportunity Statement
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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