Engineer II, AI

Ensemble Health Partners, India; Hyderabad; Hybrid; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Comprehensive health insurance

Accidental insurance

Professional development programs

Compliance with labor laws

Welcome kits and company swag

Job summary

Ensemble Health Partners, India is seeking an Engineer II, AI for a hybrid role focused on machine learning development in healthcare revenue cycle management. The ideal candidate has over 3 years of experience in ML, excellent Python and SQL skills, and familiarity with healthcare analytics. Responsibilities include developing predictive models, implementing LLM operations, and applying ML solutions. The position offers benefits such as comprehensive health insurance and professional development programs.

Qualifications

• MUST have actively programmed in Python for 3 years.
• Hands-on experience with Explainable AI (XAI) libraries, including LIME and SHAP.
• Experiences in healthcare or revenue cycle management is a plus.

Responsibilities

• Contribute towards end-to-end ML development lifecycle.
• Build and optimize Gradient Boosting Trees models.
• Implement Large Language Model (LLM) operations with OpenAI APIs.

Skills

Python

SQL

scikit-learn

PySpark ML

pandas

Dask

Polars

Pydantic

LIME

SHAP

Large Language Models (LLMs)

Education

Undergraduate degree (B.E./B.Tech) in Engineering or Technology

Graduate degree (M.Sc./M.S.) in Science, Mathematics, or Statistics

Tools

LightGBM

Databricks

Job description

Engineer II, AI

Experience: 4 - 6 Years

Job Location: Hyderabad and Bengaluru (Hybrid)

Position Overview

Ensemble is a leader in revenue cycle management innovation, leveraging advanced analytics and machine learning to deliver high-impact solutions.

The Associate II, Analytics role is focused on end-to-end machine learning (ML) development to optimize processes in healthcare revenue cycle management (RCM) operations. Candidates must have over 3 years of relevant experience to support data-driven decision-making in a dynamic environment. Please note, this is primarily an ML Engineer role, not a Data Scientist, or MLOps Role.

Job Responsibilities

• Contribute towards end-to-end ML development lifecycle, including data preparation, model building, deployment, and monitoring for revenue cycle applications.
• Build and optimize Gradient Boosting Trees models using LightGBM, and develop scikit-learn pipelines for predictive analytics.
• Implement Large Language Model (LLM) operations with OpenAI APIs, including summarization, prompt engineering, fine-tuning, and integration into operational workflows.
• Apply Explainable AI (XAI) techniques using libraries like SHAP and LIME to interpret model decisions and ensure transparency in high-stakes healthcare scenarios.
• Analyze complex datasets to identify patterns, develop deployable solutions, and collaborate on production-grade ML systems.

Required Skills

• Proficiency in Python and SQL for high-quality, production-ready code, with a public GitHub repository showcasing ML projects.
• MUST have actively programmed in python for 3 years
• SHOULD know SQL
• Expertise in ML libraries: scikit-learn, PySpark ML.
• Expertise in data manipulation libraries: pandas, Dask, Polars, PySpark.
• Expertise in data validation tools: Pydantic, Pandera.
• The right candidate should be able to pick up new technologies rapidly and contribute towards key initiatives.
• Hands-on experience with XAI libraries including but not limited to LIME, SHAP, BLEU, ROUGE etc.
• Strong knowledge of LLMs (OpenAI), including prompt engineering, tuning, and summarization tasks.
• Experience in healthcare or revenue cycle management is a plus.

Preferable Skills

• Exposure to healthcare analytics or revenue cycle management is advantageous but not mandatory. Such experience enhances the ability to apply ML solutions directly to domain-specific challenges in Ensemble’s operations. Candidates with this background can accelerate impact in revenue cycle optimization.
• Knowledge of Spark and experience in Databricks is a plus

Qualifications

• Undergraduate degree (B.E./B.Tech) in Engineering or Technology, or a graduate degree (M.Sc./M.S.) in Science, Mathematics, or Statistics (STEM).
• A first class, distinction, or top 10 percentile performance throughout the academic career is mandatory.
• Relevant experience exceeding 3 years is a key requirement alongside these academic credentials. People with a data/analytics background before the 3 years in ML Engineering with be preferred.

Benefits

• Comprehensive health insurance coverage for associate, kids (2) and parents supporting physical and financial well being beyond the workplace.
• Accidental insurance coverage for the associate that adds an extra layer of security.
• Professional development programs with reimbursement support to help you upskill and grow with confidence.
• A workplace that is fully compliant with labor laws, including maternity and paternity benefits.
• Thoughtful experiences like welcome kits, company swag, and work anniversary gifts that recognize your journey with us.
• Benefits designed to support you at different stages of life and career, not just on day one.