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Knowledge in finance, fintech, data, machine learning, or software engineering. As a Documentation Engineer at Databento, you will: Design, write, and deliver product API documentation and delivery methods.
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As a Machine Learning Engineer (MLE) you will contribute to the design, development and improvement of generative AI as well as traditional ML models and systems for various software products.
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Designed and custom-built by Amazonians, our Dash Cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Note: This job is located in Hudson, MA AWS Applications and Higher Level Abstractions (Apps) provides horizontal and industry vertical applications for business users with the same on-demand scalability, reliability, pay-as-you-go pricing, and machine learning expertise that drive AWS services.
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This is a unique opportunity to build machine learning/AI models, work on model architecture and help customers who are testing the product with model design and integration. Hands on experience designing and building deep learning models with PyTorch.
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We’re applying practical A.I. and machine learning to disrupt the massive maritime transportation market. We’re recruiting for an experienced customer-facing, marine systems Field Application Engineer to join our team.
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Implement advanced machine learning algorithms into practical, scalable applications that are integrated into broader systems. Proven experience in integrating machine learning models into scalable production environments.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, TensorFlow, PyTorch, etc.) Experience and understanding of modern CI/CD DevOps and orchestration tools such as Azure DevOps, Airflow, Kubernetes and Docker.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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Design and implement scalable solutions for Data Scientists to deploy their Machine Learning models and monitor their health on a shared multi-tenant platform running on OpenShift. Develop Machine Learning pipelines and workflows as part of developing, testing, and releasing the Red Hat OpenShift AI product.
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We solve problems in planning, computer vision, SLAM, optimization, machine learning, and more. We solve problems in planning, computer vision, SLAM, optimization, machine learning, and more.
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Do you want to leverage your skills in data science and machine learning to create cutting-edge solutions that help athletes perform better and prevent injuries? Develop and implement machine learning models to analyze and predict athlete performance.
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Interest in generative AI, foundational models, LLMs, deep learning, machine learning, and understanding the state of the art. Knowledge about machine learning and artificial intelligence (e.g. coursework.
$180,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Primary Skills: Machine Learning, AWS, MLOps, Tensorflow Contract Type: W2 Duration: 11 Months potential for extension/conversion Location: Arlington,VA, OR Boston, MA (Hybrid) Pay Range: $60.00-$69.00 per hour JOB RESPONSIBILITIES: Development and operationalization of ML solutions in production.
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We are in search of a visionary Staff Machine Learning Engineer to spearhead the enhancement of our retrieval models, which are integral to our RAG process. Experience with machine learning lifecycle management, from model development to production deployment.
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Au sein de l’équipe Machine Learning, nous développons des algorithmes pour extraire des informations physiologiques et médicales pour nos utilisateurs tels que le SPO2, la fréquence cardiaque, la détection de diverses pathologies comme la fibrillation atriale, l’apnée du sommeil.
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machine learning engineer jobs in Boston, Papillion, Nebraska
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