Sr Software Engineer III - AI (IND)

Position Title:

Sr Software Engineer III - AI (IND)

Job Family:

IFT > Engineering​/Dev

Shift:

Job Description:

ABOUT ELEVANCE HEALTH

Elevance Health is a leading health company in America dedicated to improving lives and communities and making healthcare simpler.  It is the largest managed health care company in the Blue Cross Blue Shield (BCBS) Association serving more than 45 million lives across 14 states.

A regular in Fortune 500 list, Elevance Health ranked 20 in 2022. Gail Boudreaux, President and CEO of Elevance Health has been a consistent name in the Fortune list of most powerful women and currently holds 4th rank on this list.

ABOUT CARELON

Carelon Global Solutions (CGS) is a healthcare solutions company that is simplifying complex operational processes to improve the health of the healthcare system.

Previously known as Legato Health Technologies, Carelon Global Solutions (hereinafter, CGS) underwent a name change and joined the Carelon family of brands in January 2023, as a fully owned subsidiary of Elevance Health (Previously Anthem Inc.). CGS brings together a global team of like-minded innovators who manage and optimize operational processes for health plans as well as providers.

Our brightest minds housed across our global headquarters in Indianapolis as well as Bengaluru, Hyderabad and Gurugram in India, Manila in the Philippines, Limerick in Ireland and San Juan in Puerto Rico bring with them innovative capabilities and an unmatched depth of experience. This global team uniquely positions CGS to enable scalable, next-generation platforms and specialized digital tools that make healthcare operations more practical, effective and efficient.

OUR MISSION & VALUES

Our Mission: Improving Lives and Communities. Simplifying Healthcare. Expecting More.
Our Values: Leadership | Community | Integrity | Agility | Diversity

JOB POSITION

We are currently looking to hire a Senior Data Scientist with strong analytical skills and a background in US Healthcare. The ideal candidate should have:

• A minimum of 5+ years of overall experience in Data science or related fields
• At least 3 years of hands-on experience in Machine Learning (ML) and Natural Language Processing (NLP)

Candidates with proven expertise in healthcare data analytics and a solid understanding of healthcare systems in the US will be preferred

JOB RESPONSIBILITY

Key Responsibilities:

• Demonstrate expertise in programming with a strong background in machine learning and data processing.
• Possess strong analytical skills to interpret complex healthcare datasets and derive actionable insights.
• Collaborate closely with AI/ML engineers, data scientists, and product teams to acquire and process data, debug issues, and enhance ML models.
• Develop and maintain enterprise-grade data pipelines to support state-of-the-art AI/ML models.
• Work with diverse data types including structured, semi-structured, and textual data.
• Communicate effectively and collaborate with cross-functional teams including engineering, product, and customer stakeholders.
• Operate independently with minimal guidance from product managers and architects, demonstrating strong decision-making capabilities.
• Embrace complex problems and deliver intelligence-driven solutions with a focus on innovation and scalability.
• Quickly understand product requirements and adapt to evolving business needs and technical environments.

Technical Responsibilities:

• Design and implement statistical and machine learning models (e.g., regression, classification, clustering) using frameworks such as scikit-learn, TensorFlow, and PyTorch.
• Build robust data preprocessing pipelines to handle missing values, outliers, feature scaling, and dimensionality reduction.
• Specialize in Large Language Model (LLM) development, including fine-tuning, prompt engineering, and embedding optimization using frameworks like Hugging Face Transformers.
• Develop and optimize LLM evaluation frameworks using metrics such as ROUGE, BLEU, and custom human-aligned evaluation techniques.
• Apply advanced statistical methods including hypothesis testing, confidence intervals, and experimental design to extract ins…