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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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FullBloom is actively seeking a highly skilled and experienced sales professional to join our team as a Solutions Engineer - EmpowerU for our Catapult Learning K-12 line of business. EmpowerU, a Catapult Learning service, provides evidence-based programs that improve motivation, resilience, and mental health.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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WorldStrides offers experiential learning programs in educational travel, performing arts, language immersion, career exploration, service-learning, study abroad, and sports. WorldStrides is the global leader in educational travel and experiential learning.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition.
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Demonstrated track record of developing and implementing machine learning models in real-world applications, preferably in the context of quantitative trading or algorithmic trading. We are a leading multi-strategy hedge fund at the forefront of applying cutting-edge machine learning techniques to quantitative trading strategies.
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The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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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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Machine Learning: PyTorch, TensorFlow, ONNX, OpenVINO, TensorRT, TFjs. On the machine learning team, we primarily work on building and maintaining technology within Roboflow’s training, search and deployment services, but from time to time we're also helping deliver on enterprise contracts, and coding awesome open source projects and sample projects.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. We are seeking an experienced Machine Learning Engineer (MLE) Manager to join our team.
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Serve as the top technical expert in deploying, upgrading, troubleshooting Artificial Intelligence/Machine Learning/High Performance Compute Solutions platforms. Strong Networking Fundamentals along with Converged Infra (CI)/Hyper Converged Infa (HCI) Management Certification along with hands-on experience with Amazon Kubernetes Service (AKS), Amazon EKS, Google Kubernetes Engine (GKE), Rancher.
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Abile Group has an exciting and challenging opportunity for a Machine Learning Engineer on a 10 year contract providing User Facing and Data Center Services supporting an Intelligence Community customer.
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machine learning jobs Title: electrical engineer Company: Amazon
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