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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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We look for a highly motivated and competitive postdoc with a detailed understanding and knowledge of genomic and epigenomic data processing and analysis, expertise in multi-omics data integration, and working experience with computational modeling and machine learning.
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AMP Robotics is hiring a Sr Machine Learning Engineer, In this role, you would be an individual contributor on our deep learning modeling team, working on research and development projects to help us implement state of the art deep learning techniques.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Python5+ years of experience with machine learning tools and deep learning algorithms and techniques, including but not limited to: PyTorch, TensorFlow, KerasCNN, LSTM, RNNScikit-learn, pandas, numpy Optimization techniques and fine-tuning models, e.g., scipy.
$151,759 - $171,924Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Stay ahead of emerging technologies and methodologies in data engineering and machine learning. Metropolis is seeking a Senior Machine Learning Data Engineer to play a crucial role in architecting, implementing, and managing our ML data ecosystem to support advanced machine learning initiatives.
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Progressive design professional with a strong knowledge of computational design technology and emerging applications including: 3D modeling software such as Revit and Rhino; parametric design methodologies using Dynamo and Grasshopper; data and 3D visualization capabilities utilizing PowerBi and Tableau; and multi-variable optimization through Machine Learning & AI.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring.
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The Clinical Biomarkers & Diagnostics (CBD) department at Company is looking for a highly motivated Computational Biologist with expertise in causal machine learning models and the development of predictive signatures from multi-omics and multi-modal biomarker data to enable clinical biomarker discovery and development.
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We look for a highly motivated and competitive postdoc with expertise in processing and analysis of genomic and epigenomic data, experience in multi-omics data integration, and working knowledge of computational modeling and machine learning.
$66,560 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. You have proven work experience that covers one or more of the following functions: research and data engineering, data analytics, statistical modelling, machine learning, and/or AI / GenAI.
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Strong technical background in machine learning and deep learning. Sony AI's Deep Generative Modeling (DGM) team delves into deep learning fundamentals and their practical applications for integration with Sony's business.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Peak Ventures is hiring a Senior Machine Learning Engineer! Collaborate with data engineering to set up robust modeling and decision-making pipelines. Assess business needs to recommend modeling techniques and solutions.
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Work with the latest technologies: You’ll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
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As a Senior Machine Learning Engineer at Freeform, you'll need extensive experience in advanced pattern recognition, predictive modeling techniques, and deep learning algorithms, and should have experience with machine learning as it relates to physics or the physical world.
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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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