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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. Role: Machine Learning Engineer.
$70 - $80 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with Deep Learning methods in NLP & computer vision, sentiment analysis, topic modeling and graph theory and databases. Deep Learning experience (NLP/Computer Vision): experience using Pytorch, Tensorfllow or Keras.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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Industry experience using TensorFlow or Pytorch, and open-source software libraries to develop Representation Machine Learning Systems, e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Large Language Models; Image understanding; Document classification and keyword extraction.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs.
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Prepare a beautiful, orderly environment that fosters trust, exploration, deep learning, and independence. Familiarity with child-led philosophies such as Reggio Emilia or Montessori and/or open to learning more.
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Knowledge with technology application and infrastructure components such as Servers, Storage, Networking, Application Development, SDLC, End User Platforms, Digital Workflow, Artificial Intelligence & Machine Learning, Cloud technologies, Data Engineering, Mobile/Web, and Database Management systems.
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Experience in Deep Learning techniques, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.Experience using python and/or C/ C. Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
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Expertise in applying statistical, advanced analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems. Clean, preprocess, and transform raw data into a suitable format for machine learning models.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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3+ years of experience on framework based Model development, optimization or efficient deep learning techniques. Deep technical proficiency in applying a variety of machine learning algorithms, techniques, and frameworks to solve complex business challenges.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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Deep knowledge of data mining, machine learning, natural language processing, or information retrieval. Developer level Expertise expected), Programming experience in Python, R programming , Algorithms Spark, Kafka Good experience in the Data Models for Client; Reporting, Dash boarding; Client tools H2O, Tensor Flow, Prediction.io; Distributed Data Platforms HDFS, Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Solid understanding of foundational concepts and algorithms in statistics and machine learning, deep learning, and Natural Language Processing. As a Machine Learning Engineering Intern, you will work with AAG and Bain’s consulting teams to provide high quality results and software products for our clients.
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deep learning jobs in Dallas, TX
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