[Hiring] Senior Machine Learning Engineer @CO00 Children's Hospital Medical Center

Role Description

This role involves analysis and development in machine learning.

• Implement ML standards, processes, and best practices.
• Collaborate with stakeholders to identify and plan for enterprise ML portfolio needs.
• Guide ML team members on their deliverables and activities.
• Translate complex requirements into well-scoped machine learning projects.
• Develop machine learning applications according to requirements.
• Ensure machine learning solutions are scalable to meet enterprise requirements.
• Work closely with data scientists and data engineers to guide development of machine learning models.
• Create metrics to continuously evaluate the performance of machine learning solutions.
• Extend existing machine learning libraries and frameworks as needed.

Technical and Business Skills:

• Proficiency in machine learning models for classifications, decision trees, support vector machines, and deep learning.
• Strong understanding of probability and statistical models (generative and descriptive models).
• Advanced programming skills with Python, C/C++, R, Java.
• Experience with numerical and data science libraries (scikit-learn, Pandas, NumPy, kernlab, etc.).
• Experience with at least one major machine learning framework (TensorFlow, PyTorch, etc.).
• Knowledge of web technologies, such as HTML, CSS, and JavaScript.
• Experience in DevOps/MLOps.
• Understanding of data structures, data modeling, and software architecture.
• Strong knowledge of probability, statistics, and algorithms.
• Ability to run experiments scientifically and analyze results using machine learning models.
• Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner.
• Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management, and operations.
• Stay abreast of trends in AI/ML and identify action plans for CCHMC.

Project execution & management:

• Execute own project tasks with urgency and to a high level of quality.
• Communicate status clearly and effectively using departmental project management tools.
• Follow time-tracking and other project management requirements.
• Participate actively in project meetings, stand-ups, etc.
• Serve as technical lead for moderately complex projects, collaborating with project managers to ensure project scope/risk/budget/etc. are adequately managed.
• Lead project meetings and workgroups.

Qualifications

• Bachelor's degree in computer science, statistics, economics, or related fields.
• 5+ years of work experience in a related job discipline.
• Preferred: Experience in other IT roles or functions such as quality assurance/testing, development, enterprise architecture, or project management.
• Demonstrated ability to manage large data science projects and various teams.
• Preferred: 3+ years of relevant project experience in successfully launching, planning, executing ML projects.
• Preferred: Experience working on a project using Agile or iterative methods.
• Preferred: Specialization in ML, AI, cognitive science, or data science.
• Preferred: A specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques such as deep learning.

Requirements

• Primary Location: Remote
• Schedule: Full time
• Shift: Day (United States of America)
• Department: IS Digital Strategy
• Employee Status: Regular
• FTE: 1
• Weekly Hours: 40

Benefits

• Medical coverage starting day one of employment.
• Competitive retirement plans.
• Tuition reimbursement for continuing education.
• Expansive employee discount programs through our many community partners.
• Shift Differential, Weekend Differential, and Weekend Option Pay Programs for qualified positions.
• Support through Employee Resource Groups such as African American Professionals Advisory Council, Asian Cultural and Professional Group, EQUAL - LGBTQA Resource Group, Juntos - Hispanic/Latin Resource Group, Veterans and Military Family Advocacy Network, and Young Professionals (YP) Resource Group.
• Physical and mental health wellness programs.
• Relocation assistance available for qualified positions.