417 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Texas at Austin
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applications. Demonstrated strong leadership and organizational skills with strong initiative. Strong writing and presentation skills. Relevant education and experience may be substituted as appropriate
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. Hands on experience with hand tools, power tools, machining (mill, lathe, laser cutter, etc.). Prior work experience in professional or research oriented development. Prior military experience
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, ability to follow-through, and strong problem-solving skills. Proficiency in Microsoft Excel and Word and willingness to learn other technologies as necessary. Ability to work independently and on a team
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(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive
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deadlines to effectively manage multiple projects across different areas with accuracy. Ability to learn quickly and adapt flexibly. Experience in taking ownership of projects and guiding them to successful
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tools. Other related functions, as required. Required Qualifications Bachelor's degree in Mechanical or Ocean Engineering. Demonstrated proficiency with Computer Aided Design (CAD) software (e.g., Creo
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(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive
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, Voice, Imaging, and NLP in partnership with operational and technical teams. Advanced expertise in predictive analytics, simulation modeling, machine learning, or AI-enabled decision support systems
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, be well organized, detail oriented, take direction well from supervisor, and have excellent communication skills. Basic computer skills (MS Word, Excel, email) required. Class "C" Operator's Driver's
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recurring problems and communicates findings. Escalates complex issues appropriately and follows up on resolutions. Demonstrates persistence in resolving user concerns. Technical Learning Quickly learns new