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Familiarity with at least one deep learning framework such as Pytorch or Tensorflow. The neuroimaging building where the lab is located is equipped with a state-of-the-art Siemens 3T Vida MRI scanner.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Strong knowledge and experience with big data platforms (AWS, Azure, Spark) and ML/AI languages and tools (Python, TensorFlow, PyTorch) Strong knowledge and experience with big data platforms (AWS, Azure, Spark) and ML/AI languages and tools (Python, TensorFlow, PyTorch.
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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Data Science: Dataiku, Data Robot, H2O.ai, Jupyter Notebooks, Sagemaker, AzureML, Tensorflow. Data: Snowflake, Databricks, Redshift, Synapse, BigQuery. Aiding the development of master data management, data quality, and data governance practices and strategies.
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Extensive experience with TensorFlow or PyTorch, and familiarity with Hugging Face. Minimum 3 years of experience with transformer-based models and NLP, preferably in a healthcare context. Extensive experience with TensorFlow or PyTorch, and familiarity with Hugging Face.
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Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) for classification, regression, clustering, and anomaly detection. Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) for classification, regression, clustering, and anomaly detection.
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TensorFlow, PyTorch, Hugging Face Transformers). AI/ML Expertise: Design underlying machine learning models and algorithms, with a focus on NLP and Large Language Models. Full-Stack Development: Lead development efforts using Python for backend, Scala, and NodeJS for server-side components, and ReactJS and VueJS for frontend.
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Established in 2012, BrainStation is the global leader in digital skills training and workforce transformation. BrainStation has worked with digital leaders from the most innovative companies in the world, developing cutting-edge, real-world digital education that has empowered more than 100,000+ professionals.
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Strong coding skills in Python and ML frameworks (e.g., TensorFlow, PyTorch). We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
$120,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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TensorFlow and/or Keras experience are also relevant. 6 months plus experience developing in a cloud native machine learning service such as Google Cloud Vertex AI or AWS SageMaker. Serving federal, state, & local government clients as well as public higher education institutions, our team of more than 15,000 professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
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Expert level experience with machine learning libraries (Tensorflow and Pytorch) Expert level experience with machine learning libraries (Tensorflow and Pytorch) In depth experience with machine learning based recommendation algorithms (Matrix factorization, Sequential recommenders, transformer based recommenders, deep neural network based recommenders, etc.
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About the Role BrainStation offers world-class digital skills training courses and bootcamps for professionals to kick-start or accelerate their careers in data, design, development, marketing and product.
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Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with computer vision, natural language processing, or reinforcement learning is a plus.
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Strong machine learning, deep learning, and AI modeling expertise, such as neural networks, reinforcement learning, causal inference modeling, NLP, and computer vision. Experience in deploying machine learning algorithms and advanced modeling solutions.
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tensorflow job Company: Brainstation in Miami, FL
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