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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Hands-on experience applying machine learning and deep learning to vision data, preferably direct experience with TensorFlow (preferred), Caffe, Keras, Theano or Torch. and Python, with knowledge of OpenCV and programming on GPU using OpenGL or CUDA/CuDNN or TensorRT.
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Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning.
$45 - $50 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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6+ years of experience in machine learning, deep learning, and natural language processing. Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, CatBoost, Deep Learning, etc.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
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DonorSearch Ai introduced deep learning and machine learning into the nonprofit sector by building custom models with a robust interactive visualization tool to help organizations fundraise more efficiently.
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Deep knowledge and hands-on expertise in predictive modeling, statistical inference, machine learning, and other advanced analytical techniques. Experience using programming and data manipulation languages (SQL, R, Python, C/C.
$157,205 - $266,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our Industries Sales Engineering organization is seeking a Principal Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.
$176,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Experience with Analytics tools such as Python, R, SAS, or Alteryx. Deep understanding of cloud-based analytics platforms (e.g. AWS, Azure, GCP) Managing the design, development, and deployment of machine learning and other advanced analytics solutions in the context of our CX/EX Clients.
$115,000 - $150,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A wide spectrum of technical know-how with deep expertise in areas such as Code analysis tools, Data Platforms, Data Science, Machine Learning, Python, Artificial Intelligence.
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You’re an expert with Python and its data science and deep learning libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. This role involves close collaboration with fellow data scientists, data engineers, and application developers to construct machine learning and deep learning models that drive our data-centric products and services.
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We are seeking an experienced Python Developer with expertise in Natural Language Processing (NLP) and Deep Learning to join our Data Science team. The ideal candidate should have a strong background in software engineering, computer science, machine learning, natural language processing, and deep learning.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Advanced knowledge in computer programming (preferably R or Python), machine learning, deep learning, natural language processing, and applied statistics is required. We are encouraging applicants with strong research background in data science, machine learning, or natural language processing with a focus on biomedical applications.
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Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. Azure, Databricks). Hands on experience with deep learning frameworks (e.g. PyTorch, TensorFlow) and GenAI models (e.g. GPT, StableDiffusion.
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