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Has demonstrated proficiency in one or more sub-disciplines of data science, like causal inference, forecasting, simulation, optimization, machine learning, or deep learning, geospatial.
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Proficient in machine learning, deep learning, NLP, and AI model development using Python, R, Scala, or similar languages. Research and implement next-generation solutions in digital and media analytics, leveraging advancements like GPT-3, other LLMs, NLP, and Deep Learning.
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We have a deep commitment to racial equity and social justice. We serve over 14,000 individuals in Seattle/South King County in the areas of early learning, youth development, citizenship, employment, health, housing, resource navigation, and aging adults.
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We are seeking a current master's or Ph. D. student with a solid background in signal processing and machine learning, and a deep interest in addressing current health research challenges.
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Familiarity with deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
$94,400 - $120,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Ideally, holds certifications such as NVIDIA Certified Solutions Architect (NCSA) or NVIDIA Deep Learning Institute (DLI) certifications, along with a Bachelor's or Master's degree in computer science, engineering, or a related field.
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Expertise in Machine Learning frameworks like Python, Scikit-learn, PyTorch, TensorFlow Apache Spark. This leader's passion for learning, enabling, and applying Snowflake AI capabilities to solve business use cases will drive impact for Slalom markets and customers.
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
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Familiarity with deep learning frameworks, e.g., TensorFlow, PyTorch, etc., is a plus. Developing and combining deep learning methodologies with perceptually relevant metrics.
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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Proficient at machine learning algorithms, familiar with algorithms like Generalized Linear Model, Random Forest, CART, and/or deep learning.
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The ability to engage in high-impact practices that support deep learning for student success. We are especially interested in candidates with prior experience teaching statistics, bioinformatics, AI, and/or machine learning courses with applications related to healthcare.
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A deep understanding of statistical and predictive modeling concepts, including machine-learning or data mining approaches. Master’s degree with a very strong academic background in statistics (e.g. mathematics, statistics, computer science, data mining, machine learning, operations research, physics or a related quantitative discipline.
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Deep understanding of real-world uses of standard medical nomenclatures (for example, ICD, CPT/HCPC, LOINC, NDC, SNOMED) and aspects of the Unified Medical Language System (UMLS). Collaborates with Machine Learning/Natural Language Processing (ML/NLP) engineers and data scientists to provide expert insights into real-world clinical decisions, coding, and interpretation of cases and findings.
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Leveraging deep learning design & facilitation experience and substantive subject-matter expertise, you will develop a robust portfolio of learning and development experiences that produce measurable impact at a high-growth global tech company.
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Proficiency designing and developing e-learning using authoring tools like Captivate, Articulate 360 and Adobe creative cloud. 5+ years of experience in a program management role within a People/HR team - preferably in talent development, organizational development or learning and development.
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