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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with AI, predictive analytics and the machine learning landscape is a huge plus.
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As a Machine Learning Engineer at TRM Labs, you will collaborate with an experienced team of engineers, data scientists, and research scientists to build scalable systems to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
$50,000 - $130,000 a yearInternExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Your mission is to harness data and apply advanced technologies such as machine learning, computer vision, generative AI, predictive analytics, and data visualization. Expertise in AI Software Engineering: Mastery of algorithms, methodologies, and tools across various AI fields, including machine learning, computer vision, NLP, and generative AI.
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We're hiring our first Machine Learning Engineer. Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. Expertise in areas like NLP, Deep Learning, Anomaly Detection, Transformers and Large Language Models.
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Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization. The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve scale.ai’s products and customer experience.
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Familiarity with Artificial Intelligence/ Machine Learning, Robotics Process Automation and Blockchain and their impact on the regulatory environment. Transaction tax engine experience (e.g., Vertex, Thomson Reuters, Avalara.
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Keep up-to-date with the latest advancements in machine learning and artificial intelligence to stay current on emerging techniques and trends. 10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions.
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Nice to have - You have some basic affinity or interest in machine learning / deep learning / artificial intelligence. You will work closely with experienced machine learning scientists to develop and ship cutting-edge tooling, and user-facing products.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
$151,800 - $323,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Crusoe Cloud is a managed cloud services platform that brings scalable, clean, low-cost cloud computing to the world's bravest thinkers in computationally intensive fields including artificial intelligence, graphics rendering, scientific computing, and computational biology.
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Proven experience in machine learning and classification. Expertise with parallel training, active learning, model deployment (e.g., TensorRT conversion) Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL.
$183,600 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Focused on the $500B resilience investment gap in the grid today, our mandate is simple: Help electric utilities proactively adapt to climate change by integrating cutting-edge climate-asset intelligence into their existing planning workflows.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs.
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artificial intelligence machine learning jobs Title: engineer enterprise in San Francisco, Belgrade, Montana
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