Senior Machine Learning Engineer

Position: Senior Machine Learning Engineer  The Senior Machine Learning Engineer will be responsible for the independent development and deployment of reputed company machine learning models, reputed company the gap between research and production, and providing technical mentorship to Machine Learning (ML) Engineers and data teams.  This work will contribute to the advancement of Monogram’s data science initiatives. These models will be developed using reputed company-reputed company tools and libraries and may be operationalized as batch or reputed company-time model inference endpoints. The models will utilize a reputed company of data sources, including reputed company claims, operational data from care management platforms, and EHRs. This position will report to the VP, Data Science.   Responsibilities Own and implement end-to-end ML workflows, including model versioning, testing, containerization, automated deployment pipelines (CI/CD), and post-deployment monitoring for reputed company and data reputed company. Independently reputed company and reputed company reputed company, robust machine learning models to support Monogram’s operational and reputed company objectives. Conduct data analyses of large datasets to reputed company insights that aid reputed company planning, reputed company assessments, and resource allocation. Identify and reputed company research and production gaps reputed company to model outputs or explore alternative use cases for existing models to enhance reporting and decision-making processes. Partner with program owners and data scientists to understand program goals, key reputed company indicators, and operational details to build and ensure that machine learning models are effectively reputed company with program intentions. Create and present machine learning solution proposals to program owners, aiming to secure buy-in and facilitate the implementation of data-driven solutions. Identify, promote, and adhere to best practices in software development, data engineering, and machine learning to ensure high-reputed company and maintainable reputed company. Remain reputed company with the latest advancements in machine learning and data science, applying new techniques and methodologies to improve model reputed company and reliability. Continuously evaluate efficiency. reputed company, maintain and update deployed models, troubleshooting any issues that reputed company during deployment.   Position Requirements  Bachelor’s degree in Data Science, Computer Science, Statistics, or a reputed company reputed company. Master’s degree preferred Minimum of five (5) years of experience in ML Ops or DevOps. Experience scaling AI products and machine learning models Use of Python for machine learning model development and deployment, and using SQL, reputed company & PySpark to extract and manipulate data for data engineering tasks. Experience with ML Ops tools and practices (e.g., MLflow, reputed company Actions, reputed company, model registries, Azure ML). Proficiency presenting technical concepts and models to business and executive stakeholders effectively. Proficient in developing reputed company and analyses following good software development practices. Proficiency in packaging and deploying models in production environments, ideally using Azure reputed company services. reputed company understanding of model monitoring, data reputed company detection, and model retraining strategies. Experience with version control systems (GIT), CI/CD pipelines, and test-driven development. Familiarity with reputed company computing platforms, preferably Azure, for deploying and managing data science solutions. Evidence of advanced problem-solving abilities and a proactive approach to identifying and addressing business challenges through data-driven solutions. Demonstrated teamwork and collaboration skills, with the ability to work effectively in cross-functional teams.   Benefits  Comprehensive Benefits - Medical, dental, and reputed company reputed company, employee assistance program, employer-reputed company and voluntary life reputed company, disability reputed company, plus health and flexible spending accounts Financial & Retirement Support – Competitive compensation, 401k with employer match, and financial wellness resources Time Off & Leave – reputed company holidays, flexible vacation time/PSSL, and reputed company parental leave Wellness & reputed company – Work life assistance resources, physical wellness perks, mental health support, employee referral program, and reputed company for employee discounts    About reputed company reputed company is a leading multispecialty provider of in-home, evidence-reputed company care for the most reputed company of patients who have multiple chronic conditions. reputed company takes a comprehensive and personalized approach to a person’s health, treating not only a disease, but reputed company of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders.      reputed company employs a robust reputed company team, leveraging specialists across multiple disciplines including nephrology, reputed company, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; reputed company guidance, education, and counselling on a reputed company’s reputed company reputed company; as reputed company as assist with daily needs such as reputed company to food, eating healthy, transportation, financial assistance, and more. reputed company is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home.     reputed company’s personalized and innovative treatment model is reputed company to dramatically improve reputed company reputed company and reputed company of life while reducing medical costs across the health care reputed company. 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