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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.
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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.
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Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems and bring it to large-scale real-time recommendation pipeline; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams.
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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.
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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.
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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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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.
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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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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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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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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission.
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Working within the centralized Channel Activation team, you will leverage a deep understanding of influencer marketing strategies and best practices to inform planning, share learnings, and coordinate influencer efforts across Gap Inc.’s brands.
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deep learning jobs Company: Pinterest in San Francisco, East-hartford, Connecticut
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