Cincinnati Children's
Machine Learning Engineer II - (Job Number: 142958)
PayCompetitive
LocationCincinnati/Ohio
Employment typeOther
This job is now closed
Job Description
- Req#: 935165
About the company
502 Cincinnati Children's Hospital Medical Center is an academic pediatric acute care children's hospital located in Cincinnati, Ohio.
!*!Expected Starting Salary Range: $45.39 - $57.98
SUBFUNCTION DEFINITION: Designs, develops and deploys machine learning solutions to meet enterprise goals and support experimentation and innovation. Collaborates with developers and data scientists to ensures infrastructure and data pipelines are structured to deploy machine learning solutions. Responsible for taking data science models and operationalize them ensuring SLAs are adhered to, including continuous monitoring and accuracy of ML solutions.Support teams independently.
REPRESENTATIVE RESPONSIBILITIES·Analysis and Development
Understand and translate business needs into machine learning problem statements. Translate machine learning problem statements into specific requirements and deliverables. Develop machine learning applications according to requirements. Work closely with data scientists and data engineers to develop machine learning models. Identify and utilize data sets and data pipelines for machine learning models. Train, test and deploy machine learning models into production. Maintain and improve performance and operations of existing machine learning solutions. Ensure adherence to performance standards and compliance to data security requirements.·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. Working Knowledge of probability, statistics, and algorithms. Ability to run experiments scientifically and analyze results using machine learning models. Ability to collaborate effectively across multiple teams and stakeholders.·Project execution
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.
Required:·Bachelor's degree in computer science, statistics, economics or related fields·2 years of work experience in a related job discipline
Preferred:·Specialization in ML, AI, cognitive science or data scienceUnique Skills: