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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Hands-on experience with Databricks and Snowflake for data engineering and analytics. Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with machine learning concepts and frameworks is a plus.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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2+ years in cloud data engineering experience in Azure Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools is a plus. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics.
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In HBM DEG (High Bandwidth Memory - DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
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Feature Engineering: Identify relevant features and parameters for RF circuit analysis and design machine learning models to extract these features from raw data. Qorvo’s AI/Machine Learning Engineering Internships are offered in our High Performance Analog business group.
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Advanced in one or more programming language(s) (e.g., Reliability engineering, Testing Automation, Python, Java, Infrastructure as Code (Terraform, Pulumi, Ansible, etc.) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. Four years of data engineering or equivalent experience.
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Cloud, artificial intelligence, machine learning, mobile, Experience in providing hands-on, technical leadership to large scale, enterprise level software engineering efforts in a product-centric environment.
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Essential Duties and Responsibilities Prepare and teach undergraduate classes and/or labs; Maintain contact with student population in the classroom and via electronic learning platforms (eLearning); Contribute assessment information and data as requested through the administration and the Assessment Team; Participate in course evaluation surveys.
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Proficient in data engineering concepts to build high performing ETL pipeline, Transformers that works with large volume datasets using distributed computing like Spark. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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By providing best-in-class project and program management services, you will deliver value for strategic initiatives prioritized by Global Learning and Development. A Bachelor's degree in Business Administration, Analytics, Computer Science, Engineering, or a related field; an MBA or equivalent related professional experience is preferred.
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BenefitsIn addition to competitive salaries and benefits packages, Nisum US offers its employees some unique and fun extras:Professional Development - We offer in-house technical training and professional learning programs aimed at developing skills across a broad spectrum of topics such as technology, leadership, role-based training, and process expertise.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with machine learning concepts and frameworks is a plus. Implement data pipelines and ETL processes using Databricks and Snowflake. Data Engineer with Databricks. Experience with cloud platforms such as AWS, Azure, or GCP.
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engineering learning jobs in Plano, TX
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