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Job Segment: Cloud, Embedded, Computer Science, Data Center, Engineer, Technology, Engineering. Supermicro is seeking a senior product manager who can lead the development and deployment of Gen AI applications & software products for cloud and data center customers.
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Azure Cloud Architect, Data Engineer & DevOps. Education: MUST have a Engineering, Statistical Computing, Mathematical Statistics, Mechanical bachelor's or master s degree in computer science or software engineering, Mathematics, Electrical Engineering, Information Systems: Software Engineering, Software Development, Information Technology: Programming and Software Development, Computer Science, Computer Systems Engineering, Industrial Engineering.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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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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Machine Learning Engineer responsibilities include creating machine learning models and retraining systems To do this job successfully you need exceptional skills in statistics and programming If you also have knowledge of data science and software engineering we d like to meet you.
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Computer Science, •Computer Engineering, •Software Engineering, •Information Technology, •Information Systems, •Computer Information Systems, •Management Information Systems, •Cybersecurity, •Network Administration, •Information Assurance, •Data Analytics, •Cloud Administration.
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We believe that life science product development can be accelerated with industrial strength software platforms to generate, prepare, process and utilize large and complex multi-modal molecular datasets using the best-in-class ML and data science practices.
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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Smoothstac k is recruiting for a Senior Software Engineer with a strong focus in AI/ML methodologie s and significant hands-on experience in Cloud Native development to drive the creation of next-generation, data-driven applications.
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Experience in data engineering or data science on Google Cloud Platform. Bachelor s or master s degree in computer science, Software Engineering, Data Science or related field, or equivalent practical experience.
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Job Segment: Test Engineer, Testing, Embedded, Software Engineer, Controls Engineer, Engineering, Technology. Related Terms: Embedded Controls Engineer, Embedded HITL, Embedded Software Development, Embedded Software Engineer, Embedded Systems Software Engineer, Embedded Verification and Validation Engineer, Embedded Test Engineer, Software QA, Software Quality Analyst, Software Validation Engineer, System and Performance Validation Engineer, System Test and Validation Engineer, Systems Validation Engineer, Validation Software Engineer, Verification Engineer.
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Join our trailblazing global AI and Data Intelligence team as a Software Engineer specializing in Data Engineering. Experience: 5+ years in Software Engineering with a focus on Data Engineering.
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Master's or foreign equivalent degree in Computer Science, Machine Learning, Data Science, Math, Statistics, Physics, Bioinformatics, Software Engineering, Engineering, or equivalent technical field.
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Strong software engineering in Python and data analysis experience (statistics, machine learning, numerical computing) is required. Master’s degree in Computational Biology, Bioinformatics, Applied Mathematics, Computer Science, Electrical Engineering, or other quantitative field preferred.
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The Data Engineer will be part of the NA Marketing Science team within the Research and Safety NA division. Proven experience in Databricks/Spark-based Data Engineering Pipeline development and Data/Delta Lake, Oracle, or AWS Redshift type relational databases.
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software engineering data science engineer cloud jobs Title: warehouse Company: Dice in WA, Ohio
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