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Hands-on experience with at least one main stream deep learning framework such as PyTorch, TensorFlow, and ONNX. Hands-on experience with OpenCV, PIL, and other image processing libraries.
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Hands on experience with one or more of the following D365 / Dynamics CRM modules: Customer Engagement, Project Service Automation, Field Service, Sales, Marketing. We are looking for a hands-on senior software engineer with deep knowledge of Microsoft Power Apps, including Microsoft Dynamics 365 developer.
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Working experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems. Strong experience with deep learning using TensorFlow.
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Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing/LLM, and Reinforcement Learning.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Hands-on experience in computer vision and deep learning frameworks, e.g., OpenCV, Tensorflow, Keras, Pytorch, and Caffe. Research and develop state-of-the-art model compression techniques including QAT, model distillation, pruning, quantization, model binarization, and others for deep learning models.
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Senior Machine Learning Engineer w/Spotify USA, Inc. in NY, NY. Design, build, eval, & refine company's tools by hands-on Machine Learning (ML) dvlpmnt. Must have 3 yrs of exp w/: machine learning, math modeling, & stats; implementing productn machine learning systems at scale in Python; data modeling; TensorFlow/Keras & Scikit-Learn; SQL; Big Data platfrms such as BigQuery, Redshift, Hive/Hadoop, or Snowflake; & cloud platfoms such as GCP, AWS, or Azure.
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
$150,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Strong background in deep learning theory and techniques, with hands-on experience in developing and training neural networks using frameworks such as PyTorch, JAX or TensorFlow.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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The perfect candidate for them possesses a deep grasp of machine learning principles and algorithms, with hands-on expertise in harnessing Databricks for model development and deployment.
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Demonstrated hands-on experience as an LMS Administrator. t least three (3) years of experience as a Learning Management System (LMS) Administrator. Certified Learning Management System Administrator (CLMA) and/or Certified in the Governance or Enterprise IT (CGEIT) and/or Project Management Professional (PMP) and/or other relevant certification highly desirable.
$55 - $60 an hourExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Minimum of 5 years of experience focused on developing, training and deploying AI models in real-world applications to include machine learning algorithms, deep learning architectures, and the underlying mathematical principles.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Deep Learning Frameworks (PyTorch, TensorFlow, Jax) - Hands-on experience building, training, and optimizing deep neural networks that utilize GPUs. They should have solid knowledge of AI and machine learning concepts including deep learning, NLP, computer vision, and generative AI. Hands-on experience benchmarking, analyzing performance, debugging and optimization of hardware for AI workloads is key.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience with the internals of deep learning frameworks (e.g. PyTorch, TensorFlow) and GenAI models (e.g. GPT, StableDiffusion) Experience with large scale, distributed training on GPUs (e.g., Nvidia, AMD) and alternative deep learning accelerators.
$250Full-timeExpandApply NowActive JobUpdated Today
deep learning hands on sales jobs Company: Apple
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