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3 years industrial experience in Machine Learning, Artificial Intelligence AI/ML, Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required.
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Master's Degree Computer Science, Computer Engineering, Information Technology, Software Engineering or equivalent technical discipline and 5+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred.
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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s.
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Master's degree in Computer Science or Management Information Systems with a minimum of eighteen (18) graduate hours completed in computer science official transcript(s) conferring degree must accompany the application.
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AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment) Data Science & Machine Learning Frameworks.
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Experience in distributed computing and scaling machine learning models for production environments. Servient combines Generative AI and cloud computing to drive solutions for eDiscovery, compliance and records management.
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5 years of application design and development experience in a cloud environment 3 years of experience with Google Cloud Platform (GCP) Apigee EDGE and a passion for learning new technologies 3 years of experience coding REST services and APIs using one or more of the following: Java, J2EE, JSON, XML, Python Bachelor's degree or equivalent (minimum 12 years) work experience.
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Experience with cloud computing environments (AWS, Azure, GCP) and Data/ML platforms (Databricks, Spark). Are you a motivated Machine Learning Engineer looking to join a growing and innovative team.
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Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, and cloud computing). Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS.
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CACI is looking for a new Engineering or Computer Science graduate to work as a Flight Software Verification and Validation (V&V) Test Engineer to support the Lunar Gateway Program at NASA Johnson Space Center (JSC.
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We build physics-based, rule-based, data-driven, and machine-learning models to simulate processes and recognize patterns in drilling, completions, and geoscience operations. Master’s or PhD in Computer science, Statistics, Computational Mathematics, Data Science, or a related field.
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Knowledge of sensor technologies, signal processing, data science, statistical analysis, machine learning, and cloud computing is highly desirable. Ph. D. or M.S. degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Engineering Mechanics, or Applied Mathematics with a specialty in Mechatronics, Systems, or Controls; a Bachelors degree in engineering.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Python, R, Java, Objective-C, Azure, and/or Swift), cloud computing, reverse engineering, computer networks, information security, digital forensics, risk analysis & mitigation, or policy development.
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Sylvan Learning Center - Part-time Chemistry, Physics or STEM Teacher Position. The Sylvan Chemistry, Physics or STEM Teacher is responsible for creating robust learning experiences for students as well as evaluating student progress on each assignment.
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machine learning computer science cloud computing jobs Company: Houston Community College System in Houston, TX
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