Your Future Evolves Here

Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference working in everything from scrubs to jeans.

Are we growing? Absolutely and Globally. In 2021 we grew our teams by almost 50% and continue to grow even more in 2022. Are we recognized as a company you are supported by for your career and growth, and a great place to work? Definitely. Evolent Health International (Pune, India) has been certified as “Great Places to Work” in 2021. In 2020 and 2021 Evolent in the U.S. was both named Best Company for Women to Advance list by Parity.org and earned a perfect score on the Human Rights Campaign (HRC) Foundation’s Corporate Equality Index (CEI). This index is the nation's foremost benchmarking survey and report measuring corporate policies and practices related to LGBTQ+ workplace equality.

We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it.

What You’ll Be Doing:

Senior ML Engineer

We are seeking a highly experienced and innovative Senior Machine Learning Engineer to take end-to-end ownership of machine learning applications that directly impact our products and services. You will lead the design, development, release, and advancement of robust ML models, working closely with product owners, clinical stakeholders, and cross-functional engineering teams. Your role will be pivotal in translating complex business and clinical requirements into scalable, production-ready ML solutions. You’ll be responsible not only for building models but also for managing their lifecycle—from experimentation and validation to deployment, monitoring, and continuous improvement. This is a high-impact role for someone who thrives on accountability, collaboration, and delivering real-world value through machine learning.

 What You Will Be Doing: 

Design, develop, and deploy advanced machine learning models and algorithms to primarily improve the performance of our prior authorization platformsConstruct advanced SQL queries, perform preprocessing, feature engineering, and transformations to analyze healthcare data and ensure high quality input for model trainingCollaborate with Product and Engineering teams to integrate and deploy ML models into development and production environments, spread across various locations in the US and IndiaWork closely with clinicians and stakeholders to drive the development, efficacy, and improvement of our ML modelsWork with Infrastructure and Architecture teams to drive model efficiency, reliability, and scalabilityLeverage Azure DevOps for continuous integration and continuous deployment (CI/CD) of ML modelsLead Machine Learning Operations (MLOps) to streamline the process of bringing a machine learning model into production, maintain, monitor, and identify opportunities for improvementPerform data mining as necessary to uncover insights, drive decision-making, and determine best channel approaches to drive automation across our platformsImplement feature flagging to rapidly pilot model enhancements, exception handling, and performance optimizationTranslate complex technical details into clear, actionable insights for stakeholders by telling stories through dataStay current with the latest advancements in ML and AI; testing and integrating new techniques into existing applicationsMentor and guide junior engineers, fostering a culture of continuous learning and improvement

Required Qualifications:  

Bachelor’s Degree in Computer Science, Machine Learning, Data Science, or a related fieldProficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoostExpertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining4+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks4+ years of experience developing in a cloud environment (AWS, GCS, Azure)4+ years of experience with Github, Github Actions, CI/CD, and source control4+ years working within an Agile environmentPassion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives  Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions

Preferred Qualifications:  

Master’s Degree or Ph.D. in Computer Science, Machine Learning, Data Science, or a related fieldHealthcare experience, particularly using administrative and prior authorization dataProven experience with developing and deploying ML systems into production environments Proficiency using Azure cloud-based services and infrastructure, Azure ML Studio, and Azure MLOpsExperience working with Product, Engineering, Infrastructure, and Architecture teamsExperience with deep learning, reinforcement learning, NLP, and LLMsExperience with feature flaggingPublications or contributions to the machine learning community

#Li-remote

Mandatory Requirements:

Employees must have a high-speed broadband internet connection with a minimum speed of 50 Mbps and the ability to set up a wired connection to their home network to ensure effective remote work. These requirements may be updated as needed by the business.

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Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.