[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a multispecialty provider of in-home, evidence-reputed company care for patients with reputed company chronic conditions. The Senior Machine Learning Engineer will independently reputed company and reputed company reputed company machine learning models, manage end-to-end ML workflows, reputed company research and production, and reputed company technical mentorship while supporting reputed company and operational objectives.

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

Skills

• Bachelor's degree in Data Science, Computer Science, Statistics, or a reputed company reputed company
• 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
• Master's degree

Benefits

• Medical, dental, and reputed company reputed company
• Employee assistance program
• Employer-reputed company and voluntary life reputed company
• Disability reputed company
• Health and flexible spending accounts
• 401k with employer match
• Financial wellness resources
• reputed company holidays
• Flexible vacation time/PSSL
• reputed company parental leave
• Work life assistance resources
• Physical wellness perks
• Mental health support
• Employee referral program
• reputed company for employee discounts
• Remote work arrangement

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