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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Deep Learning and Computer vision.
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Pursuing a degree in Computer Science, Data Science, Engineering, or similar field. Experience, or desire to learn, data science techniques, including data tidying, scripting in R or Python, and visualization through Excel, Python, R, JavaScript, or Tableau Experience, Google Cloud or desire to learn, web programming, including React, Svelte.
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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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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc. Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow. Dive into internals of open-source deep learning frameworks and enhance their functionality.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Economics, Engineering, Engineering and Business, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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We are looking for an experienced Senior Compiler Optimization Engineer for an exciting role in our Compute Compiler Team. We deliver features and improvements to CUDA and other compute compilers to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars.
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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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A degree in engineering, computer science, engineering technology, or a related field may be substituted per LCRA guidelines for certain years of experience. - Bachelor's degree in engineering, computer science, physics or mathematics.
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At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. Bachelor's degree in Computer Science, Computer Engineering, or a related field.
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Not required, but typically holds BsC or MsC college/university degree in Information Security, Cybersecurity, Computer Science or Software Engineering. Holds at least one of the following Information Security certifications: CCSP, C|EH, OSCP, GCIH, CISSP, CISA, CISM.
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Familiarity with deep learning frameworks like PyTorch and TensorFlow. As a member of the GPU/HPC Infrastructure team, you will provide leadership in the design and implementation of groundbreaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads.
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Key Qualifications: 7+ years experience building enterprise level applications on large-scale distributed systems Deep knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera In-depth understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Expertise in programming and developing high quality software.
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computer science deep learning jobs Company: Nvidia in Austin, Lawrence, New Jersey
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