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AI Engineer

2 months ago


College Park, United States Window World of the Ozarks Full time

The University of Maryland, a leading educational institution founded in 1856, is looking for an AI Engineer to join their Division of Information Technology. Located near Washington, D.C., the University offers unique opportunities to work with various business and technology leaders, federal departments, and research entities. This role supports the University's mission to enhance educational and operational excellence through innovation. In this role you can expect to have the responsibilities:

Develop scalable AI frameworks and applications from concept to production. Utilize Jira for task and milestone management. Maintain high standards of quality and ensure timely project updates. Manage data efficiently and apply AI and Machine Learning principles. Leverage Azure cloud technologies to automate, test, monitor, and release across environments. Contribute to the University's research, teaching, and services through technological advancements. This role comes with the following benefits:

Medical, dental, and vision coverage. Flexible work opportunities. Tuition remission for employees and dependents. Generous paid time off package. Retirement benefits. Additional perks and benefits. This role requires you to have:

Bachelor’s degree in a relevant field or equivalent work experience. 2-4 years of professional experience in Cloud DevOps, SRE, or software engineering focused on AI. Proficiency with CI/CD pipelines, automation frameworks, Infrastructure as Code, and automated testing. Experience developing solutions in Azure. Strong scripting and automation skills with tools such as Bash, Python, or Terraform. Proficiency in programming languages, including Python, R, and Java. Excellent problem-solving, communication, and teamwork skills. You would benefit from having:

Master’s degree in Computer Science or related discipline. Experience with AI libraries like scikit-learn, TensorFlow, or PyTorch. Knowledge of vector databases and data manipulation systems. Strong data analysis and visualization skills. Proficiency in version control systems like Git. Employment offers are contingent on a background check. The University adheres to non-discrimination policies and promotes equal opportunities for all applicants.

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