3838937-Assistant Vice President

EXL Talent Acquisition Team; Chennai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

EXL Health Payments Analytics in Chennai, India, seeks an NLP Researcher/Engineer to join our cutting-edge AI team. You will develop state-of-the-art NLP models and LLM-based solutions, handling large text datasets and collaborating with data scientists and domain experts to extract actionable insights for healthcare payments analytics.

The role requires a strong foundation in NLP/ML, experience with LLMs, and proficiency in Python, SQL, and popular NLP frameworks.

Qualifications

• Strong background in NLP, ML, and LLMs.
• Proficiency in Python and SQL.
• Experience with NLP libraries and large-scale text data.

Responsibilities

• Design, develop, and deploy NLP models including LLMs.
• Preprocess and clean large text datasets for analysis.
• Conduct EDA to understand data patterns.
• Implement ML/DL models for NLP problems.
• Fine-tune and optimize LLMs for performance and scalability.
• Collaborate with cross-functional teams to integrate NLP solutions.
• Stay updated with NLP/ML research and report findings.

Skills

NLP

Machine learning

LLMs

Python

SQL

NLP libraries

Cloud platforms

LLM fine-tuning

Education

Bachelor's/Master's in Science or Engineering

Tools

NLTK

spaCy

PyTorch

Hugging Face

LangChain

LlamaIndex

Job description

Job Title

Job Title: NLP Researcher/Engineer About EXL Health Payments Analytics

Who are we:

EXL Service is a NASDAQ listed global analytics and digital solutions company with $1Billion+ revenue serving industries including insurance, healthcare, banking and financial services, media, retail etc. EXL Health contributes to $300M+ of which the Payment Integrity business contributes to $160M+. We are hiring for the EXL Health Payment Integrity's Analytics Center of Excellence (ACOE) team in Chennai: We are passionate individuals with growth/startup mindset to experiment, fail fast, learn, and contribute to our 5-fold growth story of 100M to 500M in 5 years. Our typical day: We are considered as a Digital ACOE for payment integrity by 5 of top 10 health insurance companies. We deal with billions of records each month. We do not charge these clients any consulting or resource-based billing upfront unlike typical analytics service companies, instead we make money by finding money/savings for these insurance companies.

Position Overview

EXL Healthcare is seeking an NLP Researcher/Engineer with expertise in the latest generative AI/NLP stack to join our cutting-edge AI team. The ideal candidate is a self-starter with a strong passion for NLP and machine learning, demonstrated experience with large-scale text data, and a track record of building high-performance models. You will be responsible for developing and implementing state-of-the-art NLP models and algorithms, including Large Language Models (LLM). Working closely with a team of data scientists, engineers, and domain experts, you will create solutions that extract valuable insights from complex datasets, directly impacting our products and services.

Key Responsibilities

• Design, develop, and deploy NLP models and algorithms, including LLM.
• Preprocess and clean large text datasets for analysis and modeling.
• Conduct exploratory data analysis (EDA) to understand data patterns.
• Implement machine learning and deep learning models to solve NLP problems.
• Optimize and fine-tune LLM/DL models for performance and scalability.
• Collaborate with cross-functional teams to integrate NLP solutions into products and services.
• Stay up to date with the latest research in NLP, machine learning, and LLMs.
• Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and visualizations.

Required Skills

• Strong background in NLP, machine learning, and experience with LLMs.
• Proficiency in Python and SQL.
• Experience with NLP libraries/frameworks such as NLTK, spaCy, PyTorch, Hugging Face, LangChain, or LlamaIndex.
• Familiarity with data preprocessing techniques for large-scale text data.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Experience with LLM fine-tuning, RAG, PEFT, or Agent frameworks is a plus.

Preferred Skills

• Experience with fine-tuning and deploying transformer-based models for various NLP tasks.
• Knowledge of transfer learning and domain adaptation techniques for NLP.
• Familiarity with version control systems (e.g., Git) and collaborative development workflows.
• Experience with deploying models, including LLMs, in a production environment.

Education

• Bachelor's and/or Master's in any Science/Engineering field.