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Hands-on experience on all aspects of Cisco VoIP technology & its implementation (e.g., CUCM, Unity VM system, Paging etc. Hand-on experience of Nortel PBX system. Complete tasks relating to Migration from legacy Nortel PBX system to Cisco VoIP platform.
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Hands-on experience with major networking vendors: Arista, Juniper MX and SRX, Cisco, Citrix Netscaler SDX/MPX/VPX and F5 VPN appliances. Expert with BGP and traffic engineering policy on Juniper.
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Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention and more.
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PREFERRED EXPERIENCE: Experience with deep learning models and associated AI frameworks (PyTorch, TensorFlow, Jax, Deepspeed, Mosaic, Horovod, Collasal.ai) Experience with GPU kernel programming using CUDA, HIP or OpenCL. Experience in implementing and optimizing parallel methods on GPU accelerators (NCCL/RCCL, OpenMP, MPI) Experience training models in a clustered environment Experience deploying inferencing models.
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You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. Full stack experience with Ruby on Rails and React.
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Or similar languages Research or experience in Machine Learning, Deep Learning and/or Speech Recognition Experience with one or more deep learning frameworks, such as PyTorch, TensorFlow, MXNet, or similar tools Excellent written and verbal communication skills.
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You will learn practical modeling skills, as well as software skills to be a successful machine learning engineer. You will identify an applied machine learning problem in the enterprise search and question answering ecosystem.
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We're seeking therapists who are truly passionate about delivering individual, family, and couples therapy, with a commitment to client-centered care and a deep understanding of trauma-informed approaches and evidence-based practices.
$70,000 - $110,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Comfortable with deep learning frameworks, e.g., Pytorch, Tensorflow. Hands-on experience of training and deploying DNNs/foundation models. In Farmington Hills, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems.
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Practical hands on experience with: NLP (especially operationalization in production models), Advanced machine learning techniques and tools (especially Tensorflow), modern Data Analytics & Visualization tools (Looker preferred.
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Based in San Jose, CA and reporting to the Wellness Team University Field Instructors , the Wellness Counselor Intern will provide direct mental health services to general education students, as well as providing consultation and coaching to school leaders and teachers regarding trauma, social-emotional learning, mental health, behavior, and community resources.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Stay up to date on the state-of-the-art in Deep Learning ideas and software, in collaboration with our Researchers. Project experience working with Pytorch, Tensorflow or other modern deep learning frameworks.
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Explore and select appropriate tools and models for each problem, including using deep learning, LLMs, NLP, and ML models. MS or BS with in Computer Science, Computer Engineering, or equivalent experience in AI, deep learning and related software development preferred.
$165,000 - $188,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate would also have hands-on experience developing and building certified radar systems going from requirements to concepts and creating software and hardware prototypes, flight testing, and leading the radar technology development through a certification program.
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deep learning hands on sales jobs in Santa Clara, CA
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