Boston Children's Hospital

Machine Learning Ops Engineer II

Boston Children's Hospital • $110K — $130K *
Boston, MA 02115In-Person
Healthcare
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, engineering, or related field; master's preferred.
  • 3-5 years of experience in data engineering, particularly with AI or machine learning.
  • Proficient in SQL and familiar with database management systems.
  • Experience with ETL tools; skills in dbt are a plus.
  • Familiarity with deep learning approaches like nnU-Net for image segmentation.
  • Strong capabilities in Python or another advanced scripting language.
  • Experience with cloud platforms such as AWS, Azure, or GCP is advantageous.

Responsibilities

  • Lead the development and scaling of machine learning models and AI projects.
  • Collaborate with data scientists to translate model requirements into operational systems.
  • Ensure robust infrastructure for AI deployments and continuous learning cycles.
  • Utilize SQL, Python, and dbt to optimize data models for AI projects.
  • Communicate data analysis findings to technical and non-technical stakeholders.
  • Work with healthcare professionals to refine data requirements for AI applications.
  • Mentor junior engineers on data science and engineering best practices.

Benefits

  • Collaborative work environment with a focus on innovation and technology.
  • Opportunity to work on impactful AI and machine learning projects in healthcare.
  • Access to continuous professional development and mentorship.
  • Engagement with a multidisciplinary team to enhance patient care outcomes.
  • Exposure to cutting-edge technologies in a leading healthcare institution.
Full Job Description
Job Posting Description

Position Summary
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.

Key Responsibilities
  • 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.
Minimum Qualifications
Education:
  • A bachelor's degree in computer science, engineering or a related field; master's degree is preferred.
Experience:
  • 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.

About Boston Children's Hospital

Boston Children's Hospital is a 404-bed comprehensive center for pediatric health care. As one of the largest pediatric medical centers in the United States, Children's offers a complete range of health care services for children from birth through 21 years of age. Boston Children's Hospital is home to the world's largest research enterprise based at a pediatric hospital. More than 1,100 scientists, including nine members of the National Academy of Sciences, 11 on-staff members of the Institute of Medicine and 9 members of the Howard Hughes Medical Institute. The hospital is also the primary pediatric teaching affiliate of Harvard Medical School.
Learn more about Boston Children's Hospital
Size
20,000 employees
Industry
Healthcare
Founded
1869
* Ladders Estimates

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