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Keywords: LLM, Large Language Model, Machine Learning, GPU, Graphics Processing Unit, ML Infrastructure, Cloud Computing, Kubernetes, K8s, Docker, Containerization, Hardware, TPU, Tensor Processing Unit, AWS, GCP, Azure, Compiler, Kernel, CUDA, Triton, GPU Programming.
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Sustainability Science and Innovation (SSI) is a multi-disciplinary team within WW Sustainability combining science, analytics, economics, statistics, machine learning, product development, and engineering expertise.
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Falcon Cloud Security (FCS) is a a key product area for CrowdStrike.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Click Therapeutics continuously expands and refines its platform with novel cognitive, behavioral and neuromodulatory mechanisms of action and advanced data-driven tools such as artificial intelligence and machine learning.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Strong expertise in Python, TensorFlow, PyTorch, OpenCV, Hugging Face, and other relevant computer vision and machine learning libraries. Advanced degree in Computer Science, Engineering, Mathematics, or a related field with a focus on computer vision and machine learning.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Skilled with natural language processing, machine learning, statistical modeling, predictive modeling, and hypothesis testing. · Build, coordinate, maintain, and review artificial intelligence, process automation, and business intelligence efforts across the Product Management Division through the use of artificial intelligence models and/or RPA software and/or Excel VBA and/or SQL and/or data visualization tools and/or other programming languages.
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Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc. As the Program Manager, you will own the direction of program initiatives and work with both the technical and business development teams on the execution and delivery of AI and machine learning (ML) projects.
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Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying machine learning models. Ph. D. or Master’s degree in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on machine learning or artificial intelligence.
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This Engineer will have a strong Microsoft and Azure data background, defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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Hands-on knowledge of course topics is desired (e.g., knowledge of game design and interactivity, 2D and 3D animation, XR, motion graphics, screen based communication and UI/UX, knowledge of arduino programming and physical computing, web design and use of digital software to produce and evaluate design work, sound design, music theory, etc.
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Silver HCM Excellence Award for Learning & Development” – Brandon Hall Group. Prior experience with Radiology Information Systems, PACS, Data processing and digital data transfer process.
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We are currently seeking a Cloud Infrastructure Engineer to join our team in New York City, New York (US-NY), United States (US). - Implementation experience in Azure Software Service offerings such as SQL Managed instance, Logic Apps, Functions etc.
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Design and implement algorithms for signal processing in AR/VR systems, with a focus on low-resource edge devices such as wearables and mobile phones. Strong analytical and problem-solving skills to address challenges in signal processing and firmware development.
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machine learning software engineer processing jobs Company: Services Llc in Jersey City, NJ
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