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Preferred qualification participating in large-scale online machine learning platforms are preferred Good programming skills and a deep understanding of data structures and algorithms Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems Experience in anomaly detection area is a plus.
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Proficiency in at least one of the following deep learning framework, tensorflow, pytorch Proficient in core technologies like Spark, Hadoop and Hive. Proficiency in at least one of the following programming languages, Python, scala, Java. 5 years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection.
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Responsibilities Lead the design, development, testing, deployment, and support of machine learning (ML) models in a cloud environment. The Security Machine Learning squad is responsible for the design and development of online and offline machine learning (ML) features and models to detect malicious traffic and activity across the Identity Engineering platform using state of the art algorithms and tools.
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You will contribute to and be part of an engaging, dynamic and inclusive engineering organization, grounded in scrum and agile practices, CI/CD, great collaboration, functional programming and motivated by a commitment to continuous learning and improvement.
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As a Lead Software Engineer, you will be responsible for leading an engineering squad within the Identity Engineering organization. Identity Engineering delivers Consumer Identity and Access Management (CIAM) capabilities across The Walt Disney Company (TWDC) including but not limited to: D, Hulu, ESPN, and Parks.
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Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney and Hulu, to ABC News and Entertainment, to ESPN and ESPN, and much more.
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On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming our media business for the future.
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Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to enhance flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
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5+ years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection.
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Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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This position is ideal for someone with deep expertise in machine learning, deep learning (particularly for building biologically meaningful representations of chemical structures), and computational chemistry, sciences and who is committed to building a high-preforming team.
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Someone with experience developing deep learning algorithms using TensorFlow, Keras or Pytorch, and experience with OpenCV. You will report to the Director of Machine Learning.
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Programs on 5G, quantum computing, artificial intelligence, deep learning, quantum computing and from artificial intelligence and deep learning to cyber. programs on 5G, quantum computing, artificial intelligence, deep learning.
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Knowledge of Deep Learning and Machine Learning techniques, and experience in Machine Learning tools, techniques and programming (including LLM - Large Language Models) is a plus.
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machine learning deep jobs Title: data engineer Company: Nova Ltd
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