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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, social & cognitive science.
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This role requires a strong understanding of machine learning algorithms, data analysis, and fraud detection techniques. Develop, implement, and maintain machine learning models for fraud detection.
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Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses around the globe elevate their results. You will work closely with data scientist teams on ML feature engineering and build model inference pipelines and model training set generation pipelines.
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Interested candidates should expect a steep learning curve to be prepared to sell our products which requires extra time outside of company-provided training. You will sell and support our Cardiopulmonary portfolio of industry-leading, life-saving devices such as the Essenz Perfusion System Heart Lung bypass machine, Xtra Autotransfusion System, Inspire Oxygenators, and various other disposable products.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is at the heart of our customer support, and we are looking for a senior modeler to build high-quality support experiences.
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The UCSF Anatomy Learning Center (ALC) provides training for health professions education programs for the University which includes 3,500 faculty, 2,100 health professions students, and 1,500 residents and fellows.
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Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace , PyTorch, TensorFlow, and Pandas.
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We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.
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In this hybrid role, you will report to a Director in Machine Learning. Manage multiple teams of world-class machine learning software engineers. Push forward on the state of the art of deep learning to solve extremely challenging real-world robotics problems that is already driving at large scale.
$410,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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Our services include academic support and college counseling, job placement and employment training, substance use and violence prevention education, crisis intervention and mediation, leadership development, technology, and computer training.
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OSARO is a San Francisco-based startup company building machine learning software for industrial automation, to power robots in logistics and material handling centers. You will collaborate with Operations, Software, and Machine Learning teams to research, design, integrate, test and deploy new robotic hardware including: robot cell designs, end effectors, cameras, lighting, HW control devices (PLCs, I/O couplers, sensors, etc), pneumatics, actuators, custom mechanisms.
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Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home.
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training machine learning jobs Company: Mha Company in San Francisco, CA, Us
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