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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
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Developer experience platform team is looking for an extraordinary front end engineer to join our team. In-depth working knowledge on at least one or more JavaScript frameworks such as Angular, React, Vue.js, Next.js, StencilJS, TypeScript, etc.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 5 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition.
$140,000 - $209,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with the creation and automation of Data pipelines and Machine learning pipelines, model training, testing, and deployment using Airflow, EMR, Glue, etc. As a Principal Cloud Data Engineer, you will be responsible for building and maintaining a complete data ecosystem using cloud-based data lake/warehousing technologies.
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Demonstrated ability to work with large data sets using Python and SQL for data mining and machine learning. Knowledge of data science and machine learning methods and models (clustering, classification algorithms, neural networks, etc.
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Experience: Three years of full-time experience working in the following (or closely related) fields: records management, archival science, library science, government (state) records, business administration, workplace learning, or client relations.
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The successful candidate will be expected to teach core biomedical engineering courses and to create undergraduate and graduate learning environments that address the needs of students from a variety of socioeconomic and academic backgrounds, with differing learning styles and abilities.
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We are looking for a talented Machine Learning Engineer who is versatile and creative, and who can be an integral part of a small tight team in a fast-paced environment that will build and support next-generation analytics solutions and predictive models that support Action Behavior Centers.
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The Automotive High Performance Compute (HPC) team is seeking a Sr. Director of systems architecture & product management to manage the system engineering functions for automotive SOC product line of all our current and next generation HPC products, with a critical role to accelerate the development of next generation of AI, Machine Learning (ML) and automotive networking solutions in the field of ADAS/Autonomous Driving and Software-Defined-Vehicle (SDV.
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Research and develop creative and innovative ASIC and VLSI design techniques, machine learning accelerator approaches, and/or novel digital VLSI circuits. Develop and apply machine learning to ASIC and VLSI design tool flows.
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The Data Scientist will contribute to the Fraud Analytics unit’s efforts to develop and implement algorithms, artificial intelligence/machine learning (AI/ML) models, and predictive analytics to generate insights and actionable leads to identify and respond to risks of fraud, waste, and abuse.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience.
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This position will have extensive knowledge and experience of the following technologies: Internet of Things (IOT), Virtual and Augmented Reality (VR/AR), Unmanned Aircraft Systems (UAS/Drones), Digital Twinning, Building Information Modeling (BIM) modelling and visualization, Artificial intelligence, and Machine learning (AI/ML), data analytics, cloud/edge computing and storage, and wireless mobile devices and communication.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$122,500 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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You have a BA/BSc degree in Computer Science, Machine Learning, Electrical Engineering, or related technical field. You have at least 3 years of commercial experience developing and productionizing real-time projects in Machine Learning and Data Science.
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machine learning jobs Title: electrical engineer in Austin, TX
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