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CGI is looking for a Machine Learning Engineer to join our team and help us develop and deploy enterprise-grade platforms that enable data-driven solutions. Python with Django and Flask, Spark, Big-Data stack - Hive< Kafka & NoSQL's.
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Overview : As a Senior Machine Learning Engineer, you will specialize in engineering solutions that support Adversarial Machine Learning (AML) research. · Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C.
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Prior applications of our machine learning software currently give vision to autonomous mining vehicles, safeguard industrial automation systems, and reduce waste in agricultural platforms, among other exciting systems.
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Use machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems. Advanced machine learning skills using Python or R: clustering, regression, classification, and machine learning frameworks such as Apache Mahout.
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Expertise in one or more specific areas of research: automated machine learning, anomaly detection, condition monitoring, predictive maintenance, neural nets, deep learning, signal processing, digital imaging, ensemble learning, and system identification.
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We are seeking a Machine Learning Engineer to join our team to build cutting-edge machine learning technologies that will replace complex, time-consuming, manual processes with automation and intelligence that will help Govini end-users make scientific and analytical decisions.
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Position Summary: As a senior machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs.
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer, you will play a pivotal role in developing and deploying machine learning models and algorithms to address complex challenges in national security and emergency management.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We are hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams in order to build scalable Machine Learning systems that enable rapid iteration, experimentation, and continual improvement in our modeling efforts.
$206,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Bachelor's, Masters, or PhD degree preferred in Machine Learning, Robotics, Computer Science, Computer Engineering, Mechanical Engineering, Applied Mathematics, Statistics, or a related field.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Data and Machine Learning Engineer leverages data and computing infrastructure, automation and workflow orchestration tools to create data processing steps for machine-learning pipelines in production.
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Indotronix is seeking a Hybrid- Machine Learning Engineer in Pittsburgh, PA, Birmingham, Alabama, Dallas, TX, Cleveland, OH, Phoenix, AZ locations. Machine Learning Engineer that work with Data Scientists in a SDLC environment into production.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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