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# Gen AI Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, DevOps, Python (Programming Language), Machine Learning, NumPy, Object-Oriented Software Development, OpenShift, Power BI, Azure Machine Learning, SQL Databases, Azure Data Factory, Flask (Web Framework), Large Language Models, Prompt Engineering, Git, Fastapi, Pandas, Pyspark, Scikit Learn, Kubernetes, Machine Learning Operations, Api Design, Software Version Control, Docker, Programming Languages
- **Published:** May 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d3c5d8670422df37

## About the Role

Do you have experience in Statistics?, * 5-8+ years in data science or advanced analytics

 * Strong experience in insurance / healthcare / benefits analytics

 * Proficiency in Python, SQL, ML & statistical modeling

 * Experience building AI agents or copilots using LLMs (Azure OpenAI preferred)

 * Strong communication skills to translate analytics into business insights

Preferred: Azure ML, Fabric, MLOps, Feature Stores, Responsible AI experience.
Programming Languages:

 * Python (Core, OOP, AsyncIO)

 * GenAI (LLMs, Prompt Engineering, RAG, Embeddings, Vector Databases)

 * Data Analysis & Processing (Pandas, NumPy, PySpark)

Frameworks: Flask, FastAPI
ML/AI Libraries: scikit learn, Transformers
API Development: REST
DevOps: Docker, Kubernetes, OpenShift
Version Control: Git

## Description

We are seeking a Senior Data Scientist to build predictive and explainable ML models focused on claims utilization analytics and forward-looking forecasts. The role will also design AI agents that enable conversational data insights over enterprise datasets within the Azure Data Fabric ecosystem.
Key Responsibilities

 * Build baseline, decomposition, behavioral driver, and forecasting models for utilization and cost

 * Develop frequency-severity models (Poisson, Negative Binomial, Gamma, Tweedie)

 * Apply explainable AI techniques (e.g., SHAP, driver attribution)

 * Work hands-on within Azure Data Fabric (OneLake, Lakehouse, Fabric Data Science)

 * Integrate models with Power BI semantic models

 * Design and implement AI/LLM-based agents for conversational querying and insight generation across Azure datasets


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