A high-growth technology company is seeking an experienced Senior AI/ML Engineer to help transform healthcare by providing a trusted single source of truth for identity across the care continuum. The mission is centered on revolutionizing healthcare through cutting-edge technology and providing robust development opportunities for employees.
\n ResponsibilitiesCollaborate in the design and development of Software as a Service offeringsWork with cross-functional teams on AI/ML software development and deliveryDesign, build, test, run, and maintain Machine Learning pipelines, including model training workflows, model deployment, and model servingWork effectively within an Agile framework to deliver new capabilitiesOwn the end-to-end implementation of AI/ML infrastructure and MLOps framework for model telemetry and experiment trackingIntegrate Python-based recommendation engines with backend APIs and databasesParticipate in all phases of the Software Development Life Cycle: Design, new feature development, test automation, performance tuning, troubleshooting, software maintenance, CI/CD infrastructure, and service integrationsAdvise and consult on AI/ML-related issues and optimizations with engineering, product, and customer experience teams Requirements:BS or MS in Computer Science, Engineering, or a related field5+ years of experience in building and deploying Machine Learning-based software applications, with 7+ years of overall industry experienceStrong collaboration skills with onsite/remote teammates, utilizing agile methodologiesExpertise in various AI/ML frameworks and libraries, including XGBoost, scikit-learn, pandas, numpy, keras, huggingface, etc.Hands-on experience in developing and deploying Python applications in productionExperience with MLOps frameworks such as MLFlow, Kubeflow, etc.Proven experience in end-to-end ML pipeline work, including model storage, training, versioning, serving, containerization, and deploymentProficiency in database technologies, SQL queries, and orchestration tools like AirflowExperience managing cloud infrastructure in AWS or GCP with templating software like CloudFormation or TerraformStrong understanding of Object-Oriented Analysis and Design principles, including Design PatternsFamiliarity with CI/CD technologies such as Jenkins, Git, SonarQubeStrong technical and analytical skills, with the ability to analyze system functionality and resolve production issuesAbility to work under pressure with tight deadlines and manage ambiguity on certain projectsExperience with systems and software architectureStrong communication and presentation skills
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