1mo ago

Machine Learning Associate Advisor - HIH - Evernorth

India·Hyderabadmid

OtherAssociateMachine LearningData & AI

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Quick Summary

Key Responsibilities

• Build enterprise grade AI solutions with focus on privacy, security, fairness.• Perform code reviews wit

Technical Tools

OtherAssociateMachine LearningData & AI

What We Offer

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Responsibilities

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Requirements

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Server-Side Languages: Proficiency in server-side languages such as Python, Node.js.
APIs: Experience in building and consuming RESTful, Flask / Fast API / and GraphQL APIs.
Database Management: Knowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, etc.

•   Containerization and Orchestration: Experience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications.
•   CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices using GitHub Actions
•   Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security.
•   Cloud Services: Familiarity with cloud platforms like AWS or Azure for deploying and managing applications and AI models.

AI and Machine Learning Skills:

Education and Training Required:

Degree in Computer Science, Artificial Intelligence, or a related field.
Location & Hours of Work:
Full-time position, working 45 hours per week. Expected overlap with US hours as appropriate.
Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.

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.

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.