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Are you an experienced Learning & Development Manager with experience who has launched an LMS? Long established manufacturing organization is seeking an experience Learning & Development Manager in Chicago for a hybrid opportunity, great pay & benefits.
$105,000 - $115,000 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Programs on 5G, quantum computing, artificial intelligence, deep learning, quantum computing and from artificial intelligence and deep learning to cyber. programs on 5G, quantum computing, artificial intelligence, deep learning.
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The role will project manage and drive critical initiatives tied to our Employee Value Proposition in Learning and Development that directly impact the success of employees across all Saint-Gobain North America's businesses.
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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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Hands-on experience with signal processing, data analysis, machine learning models, or platform development in radar, lidar or equivalent. Prior research experience to one or more of the following areas: Electromagnetics and antenna technology (simulation tools such as CST and HFSS, characterization techniques) Radio-frequency systems (wireless communication, radars, SDRs) Signal processing and machine learning (DSP, wireless perception algorithms.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Provided training with a "training for all' approach for learning about each of the SPS standards, e.g., 5S, Visual-Management, Standard Work, Kaizen events program, SMED, Flow, Poka-Yoke, PDCA, etc.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Have expertise in Machine Learning best practices (e.g. model evaluation and hyperparameter tuning, A/B test, feature engineering, feature/model selection), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection.
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Areas of interest cover the whole spectrum of audio and speech processing, and cloud-based and embedded ML solutions, including active learning and semi-/unsupervised learning techniques for acoustic and language modeling, knowledge distillation, learning from heterogeneous and mismatched audio data including data selection/augmentation/simulation, transfer learning, domain adversarial training, variationally autoencoder disentanglement, etc.
$159,100 - $309,400 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful. We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on-prem and in the cloud.
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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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Implement improvements based on feedback and performance data specific to Beckman Coulter's learning needs. Familiarity with adult learning theories and instructional design models (e.g., ADDIE, STAR), specifically within the context of Beckman Coulter.
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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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As a machine learning engineer, you’ll have the opportunity to immediately drive a huge, direct impact for Propel! Lead Propel in building machine learning infrastructure that all teams can take advantage of.
ExpandApply NowActive JobUpdated 6 days ago
learning job Title: sr data scientist Company: Verizon
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