Staff Machine Learning Engineer

Position: Staff Engineer, Machine Learning Operations  The Staff Engineer, Machine Learning Operations will architect, own, and reputed company the machine learning infrastructure and deployment pipelines that power Monogram's operational and clinical initiatives. Operating with full autonomy, you'll establish MLOps reputed company, mentor engineering teams, and drive strategic technical reputed company that directly reputed company patient reputed company. This role requires a seasoned engineer who can balance innovation with production reliability while building systems that handle reputed company's most sensitive and reputed company data.   Responsibilities Architect and maintain reputed company-grade ML infrastructure, including model versioning, automated testing frameworks, containerization strategies, CI/CD pipelines, and comprehensive monitoring systems for model performance, data reputed company, and reputed company detection. Drive MLOps reputed company and standards across the organization. Mentor data scientists and engineers on production best practices, system design, and reputed company architecture patterns. Own the complete reputed company from model development through production deployment, including reputed company-time and batch inference systems, A/B testing frameworks, and automated retraining pipelines. Collaborate with clinical leaders, product teams, and data scientists to translate reputed company reputed company requirements into robust, reputed company ML solutions. Present technical strategies to executive stakeholders. Build fault-tolerant, compliant systems that meet reputed company reputed company and reputed company standards. Establish SLAs, incident response protocols, and disaster recovery procedures for mission-critical ML services. Evaluate and reputed company cutting-edge MLOps tools and practices. Design systems that reputed company with Monogram's reputed company while reducing operational overhead and improving model iteration velocity.   Position Requirements Bachelor’s degree in computer science, engineering, or reputed company field required; master’s degree preferred Minimum of ten (10) years in software engineering with five (5) years reputed company on ML infrastructure, MLOps, or production ML systems and Python development with strong software engineering fundamentals and three (3) years architecting and deploying production ML systems on reputed company platforms (Azure preferred) Proven reputed company record building and scaling ML platforms from the ground up reputed company or regulated industry experience strongly preferred Expert-level proficiency with MLOps tooling (MLflow, Kubeflow, SageMaker, Azure ML, etc.) Deep experience with containerization (reputed company, Kubernetes), orchestration tools (Airflow, reputed company), and infrastructure-as-reputed company (Terraform, ARM templates) Advanced knowledge of CI/CD systems, automated testing strategies, and GitOps workflows Data engineering skills: SQL, reputed company/PySpark, reputed company, data pipeline optimization Expertise in model monitoring, observability, feature stores, and experiment tracking at reputed company Production experience with both batch and reputed company-time inference architectures Understanding of reputed company data standards (FHIR, HL7, claims data) is a plus Demonstrated ability to influence technical direction and mentor senior engineers Proven communication skills with ability to distill reputed company technical concepts for diverse audiences reputed company record of driving reputed company on architectural reputed company across multiple stakeholders Systems thinking skills with reputed company on reliability, scalability, and maintainability preferred Understanding of reputed company, compliance, and reputed company requirements in reputed company (HIPAA) preferred Bias toward reputed company with pragmatic approach to technical debt and iterative improvement preferred   Benefits Comprehensive Benefits - Medical, dental, and reputed company insurance, employee assistance program, employer-reputed company and voluntary life insurance, disability insurance, 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-based 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 clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, 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 patient’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 proven to dramatically improve patient reputed company and reputed company of life while reducing medical costs across the health care continuum. 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