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TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI) AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment.
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Proficiency in at least one of the following deep learning framework, tensorflow, pytorch. In-depth understanding of deep learning technology in recommendation system or NLP fields.
$231,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, and proficiency in using relevant tools and services for deep learning development and deployment. Requirements Key Responsibilities: Model Development: Design, implement, and optimize deep learning models for a wide range of applications, including image recognition, natural language processing, and autonomous systems.
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Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. If you'd like to build the world's best deep learning cloud, join us. Experience in the machine learning or computer hardware industry.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong skills in Dialogue/NLP/IR/Deep Learning approaches. Provision of anything you need to be successful - learning tools, hardware, office equipment, software. Valence is changing how learning and development happens at the world's biggest companies; our mission is to help the world work better together.
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The ideal candidate will be an experienced pickleball coach with a deep passion for thesport and a desire to inspire others through effective teaching. Apply now to be part of our innovative platform andhelp shape the future of learning in pickleball.
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Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas. We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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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You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage.
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Position InformationCurriculum Development and Assessment Plan Prepare and implement learning activities that are in alignment with the center’s philosophy;Meet program curriculum goals, reflect children’s abilities, interests and skills, are in alignment with the National Association for the Education of Young Children’s (NAEYC) best practices;Implements inquiry-based teaching, Reggio Emilia philosophy, and the California Department of Education for Early Learning.
$5,167 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have:5+ years of Machine Learning modeling experience.
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Manage the strategy and day-to-day work of all People Operations functions including: payroll, benefits, compensation, performance management, learning & development, engagement, and compliance.
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Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Programming Languages: Python, R, or similar for AI and machine learning development. Serve as a trusted advisor to decision-makers, offering consultative insights on how the Nvidia DGX AI platform and machine learning can be applied to their biological data challenges.
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Technical Skills:Expert-level IaC skills: Deep understanding and extensive experience with Terraform, Ansible, or similar tools, including advanced features and module development. You are eager to mentor and guide other engineers, fostering a culture of learning and collaboration.
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deep learning jobs Company: Capital One in San Francisco, Peoria, Arizona
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