Machine Learning Ops Engineer II

• Leads the development, implementation, and scaling of machine learning models and other AI-driven projects within the Data & Analytics team.
• Collaborates with data scientists and other stakeholders to translate complex model requirements into operational systems.
• Ensures robust and scalable infrastructure to support AI deployments and continuous learning cycles.
• Utilizes SQL, Python, and dbt to build and optimize data models that support complex queries and analyses essential for AI projects.
• Interprets data analysis results and communicates findings to both technical and non-technical stakeholders, ensuring actionable insights.
• Works closely with healthcare professionals, researchers, and administrators to define and refine data requirements for AI applications.
• Provides expert guidance and mentorship to junior engineers and other team members on data science and engineering best practices.
• Manages multiple AI and data science projects, ensuring effective communication, adherence to timelines, and delivery within budget.
• Acts as a project lead, coordinating efforts across different teams and ensuring project milestones are met.
• Develops project plans, tracks progress, and adjusts resources and timelines as needed to ensure successful project delivery.
• Partner with Innovation and Digital Health Accelerator to operationalize AI within BCH.
• Actively seeks and integrates new technologies and methodologies to enhance the capabilities of AI projects and data processes.
• Stays informed of the latest industry trends and technologies, advocating for the adoption of innovative solutions that can provide competitive advantages.
• Encourages and leads initiatives to explore and adopt innovative solutions that provide competitive advantages.
• Ensures the integrity and reliability of data used in AI and machine learning projects, adhering to quality standards and compliance requirements.
• Maintains comprehensive documentation of all data processes, models, and code to ensure reproducibility and adherence to internal and external regulations.
• Conducts regular code reviews and quality checks to ensure best practices are followed and standards are met.

• A bachelor’s degree in computer science, engineering or a related field; master’s degree is preferred., * 3-5 years of relevant experience in data engineering, including project leadership responsibilities and advanced technical contributions to AI or machine learning projects.
• Proficient in SQL and an understanding of database management systems.
• Familiarity with ETL tools; experience with debt is highly advantageous.
• Familiarity with nnU-Net and other CNN and deep learning approaches for image segmentation and processing
• Strong capabilities in Python or another advanced scripting language, essential for AI and machine learning model development.
• Experience with cloud-based data platforms and tools such as AWS, Azure, or GCP is a plus.
• Demonstrated experience in managing multiple projects, including developing project plans, tracking progress, and adjusting resources and timelines.

The ML Ops Engineer II at Boston Children’s Hospital is an integral part of the Cardio Engineering Team within the Department of Cardiac Surgery (https://www.cardioengineering.org). This role is pivotal in developing and scaling advanced AI and machine learning projects, enhancing data frameworks, and optimizing data flows to support the hospital’s strategic initiatives. The ML Ops Engineer II works in close collaboration with data scientists and various stakeholders across the hospital to develop solutions that improve patient care outcomes and operational efficiency. Focused on innovation and technological advancement, the ML Ops Engineer II ensures the robust integration of data science into clinical and administrative processes.