# Machine Learning Senior Analyst

**Company**: Evernorth Health Services India
**Location**: Hyderabad
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://cigna.wd5.myworkdayjobs.com/en-US/cignacareers/job/Hyderabad-India/Machine-Learning-Senior-Analyst---HIH---Evernorth_26012392?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9bb10394-201

## Description

You will be part of a team focused on transforming healthcare and improving the lives of millions of members through innovative AI/ML solutions.

The role involves developing and supporting machine learning models and data-driven solutions for use cases such as document processing, analytics, and intelligent automation.

As a Machine Learning Senior Analyst, you will work closely with senior engineers, product teams, and business stakeholders to build, test, and deploy scalable AI solutions.

**Responsibilities**

- 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.

**Generative AI & LLM Responsibilities**

- 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.

**Requirements**

- 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, 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.

**Desired Experience**

- 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).

**Education and Training Required**

- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.

## Skills

### Required
- Python
- Pandas
- NumPy
- Scikit-learn
- Machine Learning
- Data Science
- AI
- LangChain
- LangGraph

### Nice to have
- PyTorch
- TensorFlow
- APIs
- data integration
- cloud platforms
- vector databases
- information retrieval concepts

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