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15 or more years of experience with a Bachelor's Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience in computer science, computer engineering, mathematics, or equivalent field with a focus on artificial intelligence/machine learning.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. 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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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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Master's Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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Or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or a related field and three (3) years of experience in the job offered or a related software engineering role.
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Bachelors Degree Required with majors in Biomedical Science, Computer Science, Mathematics, Engineering or business-related field preferred. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and deep learning architectures. This role requires a deep understanding of natural language processing (NLP) techniques, database management systems, SQL Query optimization, and passion for building intelligent systems.
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Expertise in the internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc. Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow. Contributions to open-source projects related to data science and machine learning.
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If you are dedicated to advancing learning through digital pedagogy and have a deep understanding of evidence-based teaching strategies, especially in online learning, this role offers a unique opportunity to drive positive change in education.
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This role requires strong technical expertise in computer vision, machine learning, and deep learning methodologies. Solid understanding of machine learning and deep learning concepts, including CNNs, RNNs, and reinforcement learning.
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Initial Selection Criteria: Graduation from an accredited four-year college or university required with major courses in computer science, criminal justice, business administration, or other related fields is preferred.
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Demonstrated ability to push the envelope in at least one machine learning domain (e.g. deep learning, NLP, reinforcement learning) As a Principal Applied Scientist in the Prime Video Global App Experience organization you will have deep subject matter expertise in applied machine learning.
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computer science deep learning jobs Company: Visa in Austin, Lawrence, New Jersey
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