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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.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Develop and optimize machine learning algorithms and models using Python, with a focus on performance and scalability, working very closely with the Data Scientists. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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Collaborate closely with other engineering guilds to integrate machine learning components into larger software systems and develop end-to-end solutions. Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer.
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Emerging Technologies Group: Covers a wide range of work, including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning, and quantum computing.
$60,000 - $72,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Belcan is excited to be working with our client in hiring an Imaging Machine Learning Engineer. Job Title: Imaging Machine Learning Engineer. MS degree or Ph. D. in Machine Learning, Engineering, Engineering, Computer Science, Mathematics, Statistics or a relevant technical/ science related field.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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This role will spearhead advanced data science solutions, focusing on machine learning (ML), Large Language Models (LLMs) and computer vision applications to revolutionize the insured experience and optimize claims workflows.
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Programming: You are proficient in Python or other high level programming language with experience in using geospatial and machine learning libraries (eg., OpenCV, TensorFlow, PyTorch etc.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO. HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT Own your opportunity to serve as a critical component of our nation's safety and security.
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
$75 - $85 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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Geospatial Analytics and Machine Leaning: You have demonstrated understanding of machine learning/deep learning frameworks, statistical concepts, and geo-statistics and spatial data analysis.
$100,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will be involved in the design and development efforts for our big data solutions including data lake, Business Intelligence Solutions, Machine Learning, Data Pipeline and cloud-based data warehouse products.
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on machine learning jobs Title: solutions architect Company: Databricks Inc in St Louis, MO
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