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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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EDS Faculty research interests include linguistic and cultural diversity, teacher learning, leadership, and policy, school leadership and change, family and school partnerships, and uses of educational technology in teaching and learning.
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Johnson & Johnson Innovative Medicine is recruiting for a Principal Scientist, Discovery Data Science to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Discovery.
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We are seeking a highly motivated machine learning engineer to join our Imaging AI team in the Informatics and Predictive Sciences (IPS) organization. Integrate the output of machine learning algorithms into digital pathology visualization frameworks (Halo and Concentriq.
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Guided by our Chief Information Officer / Vice President for Information Technology, we uphold SDSU's commitment to learning, discovery, and engagement, with our core values-service, collaboration, respect, integrity, innovation, and professionalism-permeating every aspect of our work.
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TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI) AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment.
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MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field. Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.
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Course work one or more: Algorithms, Artificial Intelligence, Computer Architecture, Computer Graphics, Computer Networking, Data Science, Database Systems, Machine Learning, Operating Systems, UI/UX Design, Cloud technologies (e.g. Docker, Kubernetes.
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As a Machine Learning Engineer on our core Software AI team, you will be at the forefront of designing and developing cutting-edge GenAI applications. DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers.
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Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics. MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience.
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To qualify for an Engineering Internship, one must be a Junior or higher in one of our preferred majors; possess a desire to build things; have a strong engineering aptitude and thrive working in a team environment.
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Advanced skills and experience with Articulate Storyline, Camtasia, Adobe eLearning Suite, Captivate, Dreamweaver, Photoshop, Word, Excel, PowerPoint, SharePoint, WebEx and other learning authoring tools are required.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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In collaboration with the Senior Manager, Learning, Development & DEIB to create and deliver learning and capacity-strengthening opportunities for Global Communities staff, local partners and board around DEIB, institutional and structural racism/oppression, colonialism, gender justice and feminism, and other relevant and important DEIB topics.
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We utilize the most advanced techniques for data science, machine learning, computer vision, statistical analysis, and cloud computing to discover hidden patterns in big data. The ideal candidate enjoys learning in a challenging technical environment; collaborating on multiple teams and projects; and can apply their technical skill and innovation towards solving real-world problems.
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machine learning jobs Company: T Mobile in San Diego, Parkville, Maryland
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