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Data science, machine learning, optimization models, Master's degree 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.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in data science, programming, and machine learning algorithms and will be passionate about leveraging data to drive business decisions.
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Knowledgeable of various machine learning frameworks, libraries, and packages including Scikit-learn, TensorFlow, Keras, and PyTorch. As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Senior Applied Machine Learning Engineer (Clinical Research) - Contract or CTP - Miami, FL - $75.00 - $85.00/h. Must possess very strong experience and proficiency with machine learning /deep learning algorithms/packages (e.g. TensorFlow, PyTorch, scikit-learn, Spark ML.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Manage participation of Hearts & Science employees in larger OMG learning programs such as Amazon Omega, OMG’s Global learning programs: Accelerate/Fuel/Ignite, and agency Certification Days.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Phd or Master’s degree in Computer Science, Electric Engineering, physics, Applied Mathematics, or related areas. Developing machine-learning based models and solutions for image processing, image recognition in MXP.
$143,250 - $238,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related field. While supporting applied research projects, you will be provided mentorship, practical training and skill development to develop depth and breadth in machine learning techniques as well as gain exposure to a variety of application areas.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. , and our core team includes faculty entrepreneurs (Stanford) and industry veterans (Uber, Apple, Amazon Lab126, Rohde & Schwarz), who have successfully shepherded signal processing and machine learning innovations to large-scale software for location improvement and safety at Uber.
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MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject (will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
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Proficient in exploratory data analysis, data transformation, feature creation & engineering, and data visualization using programming languages including SQL, Python, PySpark along with associated machine learning packages such as TensorFlow, PyTorch, and Keras.
$104,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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