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Develop deep learning-based methodologies for characterizing single cell and spatial transcriptomics datasets to infer features critical for cancer immunology drug discovery. + Extensive experience with deep learning methodologies including transformers, GNNs, and CNNs as well as semi-supervised and self-supervised learning strategies.
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Required Qualifications: A minimum of three years of hands-on experience as a machine learning engineer or data scientist. Responsibilities: Design and implement solutions for internal and external customers that exploit traditional machine learning and novel deep learning for next-generation satellite imagery analytics.
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Extensive knowledge in machine learning and hands-on experience in developing and implementing deep learning algorithms and generative models like VAEs, GANs, autoregressive models and transformers.
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Experience building complex software systems that have been successfully delivered to customers, especially involving deep learning, machine learning and computer vision. - 5+ years of building machine learning models for business application experience.
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Be proficient in deep learning tools such as Keras, TensorFlow, PyTorch, Caffe, etc. We are seeking a Data Scientist Expert, responsible for providing AI- powered solutions to various business functions within Global Manufacturing admin area.
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You have a deep knowledge of Python, and a strong understanding of modern deep learning, natural language processing, and the inner workings of the transformer architecture. Knowledge of modern deep learning and natural language processing techniques.
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Experience in machine learning, deep learning, information retrieval, natural language processing, or data miningExperience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of the following languages: Python, Go, Java, C.
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Deep knowledge of machine learning, both theory and application. 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) We are seeking a highly motivated, experienced, and talented Machine Learning Engineer to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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As an individual contributor, you will leverage your extensive expertise in statistics, machine learning, and optimization techniques to address and solve complex business challenges, developing and implementing sophisticated models that provide actionable insights and foster data-driven decision-making throughout the organization.
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Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models. Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Learning & Development: Our lifelong learning philosophy means you’ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities.
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This position is for seasoned professionals with a deep understanding of Civil Engineering project delivery and specialized knowledge in Building Information Modeling (BIM) management and Virtual Design and Construction (VDC.
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deep learning jobs Title: data scientist Company: Amazon in Seattle, Dothan, Alabama
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