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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking an experienced Machine Learning Engineer to join our team. Senior Machine Learning Engineer, MLOps. Collaborate with machine learning scientists and data engineers to translate prototype code to production-ready code.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. 8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
Full-timeRemoteExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applications. 5+ Years of experience in developing in Python for Machine Learning and Computer Vision applications developing in C/C.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking to hire a permanent placement role for a Mid-Level Machine Learning/Data Scientist Engineer to join our hybrid company in Houston, Tx. Candidates should be interested in building intelligent space systems to modernize satellites' operations.
$130 - $160Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of new technologies and their application (Artificial Intelligence, Machine Learning, Robotics, etc). As a Quality Engineer, you will play a crucial role in providing technical expertise, defining project inspection requirements, developing and maintaining quality plans, and training personnel on inspection principles.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You’re proficient in machine learning packages, such as Tensorflow and Pytorch, and have proven expertise in designing/developing AI/ML models. Crowe Machine Learning Engineers are project team members responsible for executing on tasks as part of an AI and ML team embedded with business experts in Crowe’s AI Lab.
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We are offering an opportunity for a Machine Learning Engineer to join our team in Houston, Texas. The role involves the use of advanced analytics, machine learning, and artificial intelligence to provide analytical and technical leadership, advancing the machine learning engineering practice within our organization.
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Basic understanding of artificial intelligence/machine learning concepts. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Develop, train, and validate machine learning models using Azure ML pipelines. Design and implement AI/ML solutions within the Azure Machine Learning workspace. Manage and optimize Azure resources for machine learning workloads, ensuring cost-effectiveness and performance.
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Cloud, artificial intelligence, machine learning, Preferred qualifications, capabilities, and skills Experience with Spark, Kubernetes, ElasticSearch/OpenSearch Exposure to cloud technologies.
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Design complex systems of systems for training and running machine learning models with industry best practice. Collaborate with the product team, architects, and others to understand the opportunities and limitations of AI, ML, and data engineering.
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