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The “Winning with Data” (WWD) capability in AbbVie’s International Commercial Business is driving the transformation of the organization into a data driven decision-making organization and is seeking an experienced and talented Machine Learning Operations Engineer to join our team.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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We are seeking a skilled and innovative Machine Learning Engineer to join our team. Proven experience as a Machine Learning Engineer or in a similar role. Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Have experience applying signal processing, image processing, pattern recognition, machine learning, deep learning, or related techniques with respect to signal extraction from sensors.
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Degree : Bachelor's or Master's degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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The University of Alabama College of Arts and Sciences invites applications for three Assistant or Associate Professor rank tenured/tenure-track positions at the interface of Artificial Intelligence (AI)/Machine Learning and Physics and Astronomy, Chemistry and Geological Sciences, as part of a machine-learning focused cluster hire, with the expected starting date of August 2024.
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We are currently seeking a self-motivated, collaborative Machine Learning Scientist to drive ML/AI powered protein design for next-generation biologics, including antibody, protein, peptide and beyond.
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Machine Learning is an integral part of how we design products, operate, and pursue Cash App's mission to serve the unbanked as well as disrupt traditional financial institutions. 5+ years experience with applied Machine Learning or Deep Learning.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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You will also attend The Intern Challenge, an experiential learning course that will help you transition successfully into your role as an intern. During the internship, you will get a preview of Foundations, Protiviti’s innovative entry-level full-time career opportunity, which provides you with experiences and learning opportunities in business operations, consulting, data, relationship building, technology, and innovation.
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Job Description/Preferred Qualifications We are looking for a full-time algorithm Research Scientist who is passionate on pioneering Machine Learning, Deep Learning, Reinforcement Learning, Foundation Models for image processing and computer vision applications in semiconductor process control business.
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machine learning jobs Title: electrical engineer Company: Amazon
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