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Machine Learning Associate Advisor

The Cigna Group

Machine Learning Associate Advisor

full-timePosted: Jul 30, 2026Updated: Aug 29, 2026India, Hyderabad

Job Description

Position OverviewWe'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 & ResponsibilitiesDesign and implement AI/ML models using various frameworks and librariesWork with large language models (LLMs) from providers like OpenAI and AnthropicDevelop and optimize RAG (Retrieval-Augmented Generation) systemsCollaborate with cross-functional teams to integrate AI capabilities into our applicationsConduct experiments and analyze results to improve model performanceStay updated with the latest advancements in AI/ML and propose innovative solutionsQualificationsRequired Experience & Skills:8 to 11 years of development experienceStrong 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 technologiesExperience with graph databases (e.g., Neo4j) and knowledge graphsStrong understanding of machine learning concepts and algorithmsExperience with cloud-based ML platforms (e.g., AWS SageMaker, Databricks)Proficiency in data preprocessing and feature engineeringPreferred Experience & Skills: Advanced degree in Computer Science, AI, or a related fieldFamiliarity with MLOps practices and toolsExperience with GPU acceleration and distributed computingContributions to AI/ML open-source projects or research publicationsLocation & 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 ServicesEvernorth 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.

Locations

  • India, Hyderabad

Skills Required

  • Pythonintermediate
  • RAG systemsintermediate
  • graph databasesintermediate
  • cloud-based ML platformsintermediate
  • data preprocessingintermediate
  • MLOps practicesintermediate
  • GPU accelerationintermediate

Required Qualifications

  • 8 to 11 years of development experience (experience, 11 years)
  • Strong proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow) (experience)
  • 5+ years of experience working with large language models (e.g., GPT-4, Claude) (experience, 5 years)
  • Familiarity with RAG systems and related technologies (experience)
  • Experience with graph databases (e.g., Neo4j) and knowledge graphs (experience)
  • Strong understanding of machine learning concepts and algorithms (experience)
  • Experience with cloud-based ML platforms (e.g., AWS SageMaker, Databricks) (experience)
  • Proficiency in data preprocessing and feature engineering (experience)

Preferred Qualifications

  • Advanced degree in Computer Science, AI, or a related field (degree in computer science)
  • Familiarity with MLOps practices and tools (experience)
  • Experience with GPU acceleration and distributed computing (experience)
  • Contributions to AI/ML open-source projects or research publications (experience)

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

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