Engineer II AI

<div><span><p style="margin-bottom:0cm;text-align:justify;text-indent: 18.0pt;line-height:16.0pt;"><strong>Job Title:</strong><strong>&nbsp;Engineer II, AI</strong></p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:18.0pt;text-align:justify;line-height:16.0pt;"><strong>Experience: 4- 6 Years</strong></p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:18.0pt;text-align:justify;line-height:16.0pt;"><strong>Location:</strong> <strong>Hyderabad and Bangalore&nbsp;</strong></p><p style="margin-bottom:0cm;text-align:justify;line-height: 16.0pt;"><strong>&nbsp;</strong></p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:18.0pt;text-align:justify;line-height:16.0pt;"><strong>Company Overview&nbsp;</strong></p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:18.0pt;text-align:justify;line-height:16.0pt;">Ensemble Health Partners India is at the forefront of innovation in the Revenue Cycle Management (RCM) space, <strong>leveraging modern technology</strong> to drive meaningful, real‑world impact. Our future‑ready <strong>platforms bring together AI‑driven analytics</strong>, intelligent data ingestion, workflow automation, and business intelligence built on a scalable, cloud‑native architecture.</p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:18.0pt;text-align:justify;line-height:16.0pt;">Our AI‑powered solutions are actively running in production, continuously optimizing processes and delivering data‑driven insights at scale. With the <strong>second‑largest market share in the U.S. RCM industry, a global workforce of 15,000+ professionals, and 12 technology patents</strong>, we deliver results through strong teams, proven processes, and flexible, modern technologies.</p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:18.0pt;text-align:justify;line-height:16.0pt;">As part of our continued growth, we have <strong>launched our Global Capability Center (GCC) in Hyderabad</strong> 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.</p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:18.0pt;text-align:justify;line-height:16.0pt;">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.</p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:18.0pt;text-align:justify;line-height:16.0pt;"><br></p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;"><strong>Position Summary:</strong></p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;">Ensemble is a leader in revenue cycle management innovation, leveraging advanced analytics and machine learning to deliver high-impact solutions.</p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;">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 environment. Please note, this is primarily an ML Engineer role, not a Data Scientist, or MLOps Role.</p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;"><br></p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;"><strong>Job Responsibilities</strong></p><ul><li>Contribute towards end-to-end ML development lifecycle, including data preparation, model building, deployment, and monitoring for revenue cycle applications.</li><li>Build and optimize Gradient Boosting Trees models using LightGBM, and develop scikit-learn pipelines for predictive analytics.</li><li>Implement Large Language Model (LLM) operations with OpenAI APIs, including summarization, prompt engineering, fine-tuning, and integration into operational workflows.</li><li>Apply Explainable AI (XAI) techniques using libraries like SHAP and LIME to interpret model decisions and ensure transparency in high-stakes healthcare scenarios.</li><li>Analyze complex datasets to identify patterns, develop deployable solutions, and collaborate on production-grade ML systems.</li></ul><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;"><br></p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;"><strong>Required Skills</strong></p><ul><li>Proficiency in Python and SQL for high-quality, production-ready code, with a public GitHub repository showcasing ML projects.</li><li>MUST have actively programmed in python for 3 years</li><li>SHOULD know SQL</li><li>Expertise in ML libraries: scikit-learn, PySpark ML.</li><li>Expertise in data manipulation libraries: pandas, Dask, Polars, PySpark.</li><li>Expertise in data validation tools: Pydantic, Pandera.</li><li>The right candidate should be able to pick up new technologies rapidly and contribute towards key initiatives.</li><li>Hands-on experience with XAI libraries including but not limited to LIME, SHAP, BLEU, ROUGE etc.</li><li>Strong knowledge of LLMs (OpenAI), including prompt engineering, tuning, and summarization tasks.</li><li>Experience in healthcare or revenue cycle management is a plus.</li></ul><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;"><br></p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;"><strong>Preferable Skills</strong></p><ul><li>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.</li><li>Knowledge of Spark and experience in Databricks is a plus</li></ul><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;"><br></p><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;"><strong>Qualifications</strong></p><ul><li>Undergraduate degree (B.E./B.Tech) in Engineering or Technology, or a graduate degree (M.Sc./M.S.) in Science, Mathematics, or Statistics (STEM).</li><li>A first class, distinction, or top 10 percentile performance throughout the academic career is mandatory.</li><li>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.</li></ul><div><strong>Why Join US?&nbsp;</strong></div><div>•<span style="white-space:pre;">&nbsp; &nbsp;&nbsp;</span>Work on <strong>real-world healthcare and technology challenges,</strong> powered by emerging technologies and a strong innovation mindset.<br>•<span style="white-space:pre;">&nbsp; &nbsp;&nbsp;</span>Be part of a <strong>fast-growing, people-first organization</strong> where your work creates measurable impact.<br>•<span style="white-space:pre;">&nbsp; &nbsp;&nbsp;</span>Grow continuously with <strong>structured learning, certifications, and industry-recognized development programs.</strong><br>•<span style="white-space:pre;">&nbsp; &nbsp;&nbsp;</span>Collaborate with <strong>high caliber teams that value ownership, trust, and accountability.</strong><br>•<span style="white-space:pre;">&nbsp; &nbsp;&nbsp;</span>Grow alongside an organization that’s scaling with purpose and clarity. Be part of a fast scaling <strong>Global Capability Center&nbsp;</strong>with meaningful global responsibility.<br><br></div><div><br></div><div><strong>Benefits:</strong></div><div>•<span style="white-space:pre;">&nbsp; &nbsp;&nbsp;</span><strong>Comprehensive health insurance coverage</strong> for associate, kids (2) and parents supporting physical and financial well being beyond the workplace.<br>•<span style="white-space:pre;">&nbsp; &nbsp;&nbsp;</span><strong>Accidental insurance coverage</strong> for the associate that adds an extra layer of security.<br>•<span style="white-space:pre;">&nbsp; &nbsp;&nbsp;</span><strong>Professional development programs</strong> with reimbursement support to help you upskill and grow with confidence.<br>•<span style="white-space:pre;">&nbsp; &nbsp;&nbsp;</span>A workplace that is <strong>fully compliant with labor laws,</strong> including maternity and paternity benefits.<br>•<span style="white-space:pre;">&nbsp; &nbsp;&nbsp;</span>Thoughtful experiences like <strong>welcome kits, company swag, and work anniversary gifts&nbsp;</strong>that recognize your journey with us.<br>•<span style="white-space:pre;">&nbsp; &nbsp;&nbsp;</span>Benefits designed to support you <strong>at different stages of life and career</strong>, not just on day one.</div><p style="margin-top:0cm;margin-right:0cm;margin-bottom:0cm; margin-left:14.2pt;text-align:justify;line-height:16.0pt;"><br></p></span></div>