Cincinnati Children's Hospital is looking to solve the problem of implementing machine learning standards, processes, and best practices to improve children's health by developing scalable machine learning 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
- Create metrics to continuously evaluate the performance of machine learning solutions
Other
- Bachelor's degree in computer science, statistics, economics or related fields
- 5+ years of work experience in a related job discipline
- 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
- Expected to work full-time with 40 hours per week
