This role is responsible for the provisioning, deploying, administering, monitoring, maintaining, troubleshooting, upgrading, and patching of Information Technology resources and services, with a specialized focus on Machine Learning Operations (MLOps) for the Precision BrainHealth Application. The Systems Engineer III – Machine Learning Operations & Automation will develop, deploy, and integrate complex software and application solutions to support a variety of research and business objectives, including auto-scoring cognitive assessments. This includes managing and optimizing machine learning models in production, ensuring their scalability and reliability across cloud computing platforms, especially AWS. The position requires a combination of data science background, strong computer science fundamentals, and an aptitude to apply cutting-edge technologies at scale.

Bachelor’s Degree with four (4) years related experience OR Associate degree with six (6) related experience OR High School or equivalent with eight (8) years related experience.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience in provisioning, deploying, administering, and maintaining IT resources, with a focus on automation and machine learning operations. Proficient in Python, Jupyter Notebook, Docker, GraphQL, RESTful web API principles, RDMS, NoSQL databases, and cloud computing platforms, especially AWS. Strong background in data science and computer science fundamentals. Excellent analytical, interpersonal, and communication skills. Experience working as part of an application development team.

Develop, deploy, and manage machine learning solutions and automated metrics for the Precision BrainHealth Application, ensuring their reliability and scalability. Provision, monitor, and maintain IT resources and services, focusing on automation and machine learning applications. Document complex processes, procedures, system configurations, and specifications related to machine learning operations and automation. Collaborate closely with data scientists and development teams to integrate and auto-score cognitive assessments for the Precision BrainHealth Application.

Mentor junior engineers and manage small teams and projects related to machine learning and IT automation. Exhibit strong analytical, interpersonal, and communication skills, with the capability to leverage advanced technical competencies in both systems engineering and machine learning.

1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.

2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. EOE, including disability/veterans. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.