Machine Learning Engineer

Education Required: Bachelor's degree in Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another related engineering discipline

Preferred Education: Master's  in an applied science or engineering field. 

Experience Required: Three years of experience in machine learning engineering, data science, data engineering, and/or software engineering. With Master's degree, one years experience required. With PhD, no experience

Preferred Experience: 

Three years of industry experience as a Data Scientist. 
Two years of industry experience as a Machine Learning Engineer. 
Two years of academic or industry experience working on deep learning based computer vision models. 
Experience building and executing machine learning pipelines in Azure, AWS, or GCP.

Experienced with MLOps tools and processes for data, code, and model management. Strong proficiency in Python and either C++ or C#, with practical knowledge of TensorFlow, PyTorch, and Scikit-learn. 

Experience working on healthcare focused machine learning projects. 
Experience working with large DICOM datasets. 
Experience as a technical lead for machine learning projects. 

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html