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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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Hands on experience with big data frameworks and modern data technologies (Snowflake, dbt, Airflow, Tableau, SQL). Strong foundational knowledge of machine learning (ML) algorithms, natural language processing (NLP) and AI Model Evaluation.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong background in infrastructure engineering, with hands-on experience in designing, building, and optimizing infrastructure solutions for machine learning. Requirements Key Responsibilities: Machine Learning Infrastructure Design: Design and architect scalable and reliable infrastructure solutions to support machine learning model development, training, and deployment.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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BS, MS, or Ph. D. in Robotics, Machine Learning, Applied Mathematics, Computer Science or a related field. Experience in optimizing workloads on GPUs and use of nVidia profiling tools ( Nsight systems and Nsight compute.
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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.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Join us as we revolutionize video understanding and multimodal AI.About the roleAs a Machine Learning Engineer at Twelve Labs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows.
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Strong background in GPU programming (e.g., CUDA, CUTLASS, PTX, ROCm) for high-performance computing, machine learning, or graphics applications. About the PositionWe are seeking an experienced engineer to lead and own CentML’s compiler products ( The team has been developing an open-source deep learning compiler that supports end-to-end compilation of DNN models from PyTorch and ONNX to efficient CUDA kernels.
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At Genentech Computational Sciences (gCS) Prescient Design, we are seeking a highly motivated Machine Learning Scientist to help drive research on Machine Learning for Drug Discovery.
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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home.
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Faculty DevelopmentThe Instructional Designer will partner with members of the Instructional Design team, other Educational Technology Services colleagues, the USF Center for Teaching Excellence, and the Provost office to provide broad faculty development programming around instructional design principles, learning theory, research-based instructional strategies, and effective use of educational technologies.
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For data Science/Machine learning Positions. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers. Project work on the technologies needed. Project work on the skills.
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deployment machine learning hands on jobs Company: Dice in San Francisco, CA
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