Cincinnati Children's aims to improve children's health through the responsible use of artificial intelligence and machine learning, requiring expertise to develop and manage ML solutions.
Requirements
- 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.
Responsibilities
- 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.
Other
- 5+ years of work experience in a related job discipline
- Demonstrated the ability to manage large data science projects and various teams
- 3+ yrs of relevant project exp. in successfully launching, planning, executing ML projects
- Experience working on a project using Agile or iterative methods
- Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner.
