Machine Learning Senior Analyst - HIH - Evernorth

Overview

Develop and deploy machine learning and generative AI solutions for healthcare use cases such as document processing, analytics and intelligent automation, working with senior engineers, product teams and business stakeholders.

What you'll do

• Develop and implement machine learning models under guidance to solve business problems in healthcare.
• Work on data preprocessing, feature engineering and model evaluation as part of AI/ML pipelines.
• Assist in building and integrating ML solutions with APIs and applications.
• Collaborate with cross-functional teams (engineering, product, data teams) to understand requirements and deliver solutions.
• Support development of AI solutions that adhere to privacy, security and responsible AI principles.
• Work with structured and unstructured data, including text data for NLP use cases.
• Assist in optimizing model performance and improving accuracy through iterative testing.
• Create basic dashboards, reports or visualizations to present insights.
• Participate in code reviews, testing and debugging to ensure quality delivery.
• Document solutions, workflows and model behavior for reuse and knowledge sharing.
• Design and optimize prompts for Large Language Models (LLMs) to achieve desired outputs for various use cases.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines for document Q&A, knowledge retrieval and contextual response generation.
• Develop and support agentic AI workflows using frameworks such as LangChain, LangGraph or similar orchestration tools.
• Implement and manage ETL pipelines for data ingestion, transformation and preparation for ML/GenAI workloads.
• Deploy and manage AI/ML solutions on AWS cloud infrastructure (SageMaker, Lambda, Bedrock, S3, etc.).
• Monitor and evaluate LLM performance, including response quality, latency and cost optimization.

What you'll need

• 4–5 years of experience in Machine Learning / Data Science / AI domain.
• Develop and support agentic AI workflows using frameworks such as LangChain, LangGraph or similar orchestration tools.
• Hands-on experience with Python and libraries such as Pandas, NumPy and Scikit-learn.
• Basic understanding of machine learning concepts such as classification, regression, clustering and NLP.
• Exposure to model development lifecycle (data preparation, training, evaluation).
• Experience working in a team environment on shared deliverables or projects.
• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence or related field.
• Strong foundation in machine learning and data analysis.
• Good understanding of data structures and programming fundamentals.
• Knowledge of Python-based ML tools and frameworks.
• Familiarity with cloud-based environments.
• Strong analytical and problem-solving skills.
• Good communication skills to work with both technical and non-technical stakeholders.
• Ability to work collaboratively in a fast-paced team environment.
• Willingness to learn and adapt to emerging AI/ML technologies.

Nice to have

• Exposure to Generative AI / LLM concepts and prompt engineering.
• Familiarity with frameworks such as PyTorch or TensorFlow.
• Experience with APIs, data integration or cloud platforms (Azure/AWS/GCP).
• Knowledge of vector databases or basic information retrieval concepts.
• Experience working with data formats like CSV, JSON or documents (PDF, Word).

Details

• Location: Hyderabad, India; hybrid work mode.
• Hours of work: 2:30 PM IST to 11:30 PM IST.