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:

MLOps Engineer

We are seeking a highly capable MLOps Engineer to join our growing AI/ML Team.  You will bridge the gap between data science and operations, ensuring that machine learning models are efficiently tested, deployed, monitored, and maintained in production environments.  You will work closely with data scientists, software engineers, infrastructure, and development teams to build scalable and reliable ML infrastructure.  You will be instrumental in supporting clinical decision-making, operational efficiency, quality outcomes, and patient care. 

What You Will Be Doing: 

Model Deployment and Infrastructure

Design, build, and maintain scalable, secure ML pipelines for model training, validation, deployment, and monitoringAutomate deployment workflows using CI/CD pipelines and infrastructure-as-code toolsPartner with Infrastructure Teams to manage (Azure) cloud-based ML infrastructure, ensuring compliance with InfoSec and AI policiesEnsure applications run at peak efficiency

Model Testing, Monitoring, and Validation

Develop rigorous testing frameworks for ML models, including clinical validation, traditional model performance measures, population segmentation, and edge-case analysisBuild monitoring systems to detect model drift, overfitting, data anomalies, and performance degradation in real-timeContinuously analyze model performance metrics and operational logs to identify improvement opportunitiesTranslate monitoring insights into actionable recommendations for data scientists to improve model precision, recall, fairness, and efficiency

Model Transparency & Governance

Maintain detailed audit trails, logs, and metadata for all model versions, training datasets, and configurations to ensure full traceability and support internal auditsEnsure models meet transparency and explainability standards using tools like SHAP, LIME, or integrated explainability APIs.Collaborate with data scientists and clinical teams to ensure models are interpretable, actionable, and aligned with practical applicationsSupport corporate Compliance and AI Governance policiesAdvocate for best practices in ML engineering, including reproducibility, version control, and ethical AIDevelop product guides, model documentation, and model cards for internal and external stakeholders

Required Qualifications:  

Bachelor’s Degree in Computer Science, Machine Learning, Data Science, or a related field2+ years of experience in MLOps, DevOps, or ML engineeringProficiency in Python and ML frameworks such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoostExperience with containerization (Docker), orchestration (Kubernetes), and CI/CD toolsFamiliarity with healthcare datasets and privacy regulationsStrong analytical skills to interpret model performance data and identify optimization opportunitiesProven ability to optimize application performance, including improving code efficiency, right-sizing infrastructure usage, and reducing system latencyExperience implementing rollback strategies, including version control, rollback triggers, and safe deployment practices across lower and upper environments2+ years of experience developing in a cloud environment (AWS, GCS, Azure)2+ years of experience with Github, Github Actions, CI/CD, and source control2+ years working within an Agile environment

Preferred Qualifications:  

Experience with MLOps platforms like MLflow, TFX, or KubeflowHealthcare experience, particularly using administrative and prior authorization dataProven experience with developing and deploying ML systems into production environments Experience working with Product, Engineering, Infrastructure, and Architecture teamsProficiency using Azure cloud-based services and infrastructure such as Azure MLOpsExperience with feature flagging tools and strategies

#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.