Job Title : Engineer II, AI.

Experience : 3+ Years.

Location : Hyderabad and Bangalore.

Company Overview :

Ensemble Health Partners India is at the forefront of innovation in the Revenue Cycle Management (RCM) space, leveraging modern technology to drive meaningful, real-world impact.

Our future-ready platforms bring together AI-driven analytics, intelligent data ingestion, workflow automation, and business intelligence built on a scalable, cloud-native architecture.

Our AI-powered solutions are actively running in production, continuously optimizing processes and delivering data-driven insights at scale.

With the second-largest market share in the U.S. RCM industry, a global workforce of 15,000+ professionals, and 12 technology patents, we deliver results through strong teams, proven processes, and flexible, up-to-date technologies.

As part of our continued growth, we have launched our Global Capability Center (GCC) in Hyderabad designed to serve as a strategic extension of our global operations.

The GCC brings together technology, analytics, and RCM expertise to build scalable solutions, accelerate innovation, and support our long-term vision of transforming healthcare operations.

At Ensemble Health Partners India, we foster a culture of growth, collaboration, and innovation where your expertise is valued, your ideas are heard, and your work makes a measurable impact.

Position Summary :

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

The Engineer II, AI 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 workplace.

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 Ensembles 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.Tech) 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.

Why Join Us? :

- Work on real-world healthcare and technology challenges, powered by emerging technologies and a strong innovation mindset.
- Be part of a fast-growing, people-first organization where your work creates measurable impact.
- Grow continuously with structured learning, certifications, and industry-recognized development programs.
- Collaborate with high caliber teams that value ownership, trust, and accountability.
- Grow alongside an organization thats scaling with purpose and clarity.
- Be part of a fast scaling Global Capability Center with meaningful global responsibility.

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.

📌 AI Engineer II (India)
🏢 Ensemble Health Partners
📍 India