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Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost-effectiveness. Strong proficiency in developing machine learning models using Python machine learning packages, Azure Databricks, and other Azure technologies.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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Assess current delivery of K-12 school social emotional learning practices, curriculum and resources in BPS by working with the OHW evaluation team. Lead the development and implementation of a comprehensive K-12 Tier 1 social emotional learning plan for the district.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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A first-of-its-kind 3.0 Tesla MRI with ultrafast MR imaging informed by deep learning (AI) reconstructions, an additional 3.0 Tesla magnet, and a new 1.5 Tesla MR. The world of healthcare is changing fast and Commonwealth Radiology Associates is the “tip of the spear” when talking about advancements in Diagnostic Modalities, Image-Guided Intervention, AI, Machine Learning, and Health Blockchain Technology.
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Comprised of Tufts Medical Center, Lowell General Hospital, MelroseWakefield Hospital, Lawrence Memorial Hospital of Medford, Care at Home - an expansive home care network, and large integrated physician network.
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Advances in bigchemical data, massive computing power, artificial intelligence, andmolecular dynamics simulation are changing the way we develop newdrugs.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Broad understanding of methods and tooling, fromtraditional (FastCV)to deep learning approaches(i.e. PyTorch,Jax,Tensorflow)and their deployment to embedded systems(Android, C. Optimize machine learning model implementations and inference timesWork withTFLite, SNPE, or other embedded deep learning libraries Quantize and tune model architecture, speed, and performance whilemaintainingtask performance Participate in rigorous benchmarking and analysis across model classes Deploy to mobile hardware running Android.
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Design comprehensive training programs for volunteers working with children and families experiencing homelessness with a focus on early childhood development, social emotional learning, trauma and resiliency.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning.
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PhD or MSc in computational biophysics, computational chemistry, chemical engineering, computer science, machine learning or related field. Development and implementation of advanced data analytics and state-of-the-art machine learning models to generate insights from proteomics (ABPP) data, protein structure, and protein dynamics to enhance target prioritization and structure-based drug design efforts.
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As a Machine Learning Engineer II with CodaMetrix you will help with translating proof-of-concept ideas to product grade solutions. The Machine Learning Engineer II reports to the Director of Architecture.
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As a Machine Learning Engineer, you will play a critical role in the development, deployment, and optimization of machine learning models with a strong emphasis on large language models (LLMs) and MLOps.
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learning job Company: Apple Inc in Boston, MA
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