Machine Learning Ops Eng II

Position Summary
The ML Ops Engineer II at Boston Children’s Hospital is an integral part of the Data Science team within Enterprise Data & Analytics in BCH IT. 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
Technical Skills:
• Proficient in SQL and an understanding of database management systems.
• Familiarity with ETL tools; experience with debt is highly advantageous.
• 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.

Analytical Skills:
 • Strong problem-solving abilities and adeptness in handling complex data sets.
• Ability to apply analytical rigor to understand, interpret, and leverage data to drive decision-making.

Project Management Skills:
• Demonstrated experience in managing multiple projects, including developing project plans, tracking progress, and adjusting resources and timelines.
• Ability to coordinate efforts across different teams and ensure project milestones are met.

Leadership and Mentorship:
• Experience mentoring junior engineers and providing guidance on best practices in data engineering and AI model development.
• Ability to lead code reviews and foster a collaborative and innovative team environment.

Communication:
• Excellent interpersonal and communication skills, essential for effective collaboration with cross-functional teams.
 • Capable of clearly articulating technical concepts to non-technical stakeholders, ensuring alignment and understanding across diverse teams


Education

• Bachelor's Degree or comparable experience required
• Master's Degreepreferred

Experience:
3-5 years of relevant experience in data engineering, including project leadership responsibilities and advanced technical contributions to AI or machine learning projects.