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Adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers.
$174,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. San Francisco and San Jose, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer.
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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, Machine Learning engineers for full time positions with clients.
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Demonstrated aptitude and experience with: (a) assembling and synthesizing disparate remote sensing products for mapping building/infrastructure development, (b) assessing flood vulnerability, (c) artificial intelligence/machine learning techniques applied to mapping buildings and flood exposure, (d) surface water flow and flood modeling, and (e) social vulnerability metrics.
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Machine Learning / Artificial Intelligence Intern/Co-Op (Graduate | 2025 | Hybrid) We are seeking highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers.
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Deep learning experience working with TensorFlow and Natural Language Processing experience are highly preferred. Expert in leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps.
$210,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our mission is to revolutionize healthcare workforce development, and we're backed by leading venture capital firms including Leeds Illuminate, Reach Capital, Valor Capital, Univision, and Endeavor Catalyst.
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We encourage people with disabilities and from other diverse backgrounds to apply for Capital Metro vacancies. Support Capital Metropolitan Transportation Authority’s Safety Management Systems (SMS) process by following safety and security policies, considering safety in every action and reporting safety and security concerns.
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We've raised $104 million in venture capital following a recent Series C funding round led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, Ridge Ventures as well as CEO’s from GE, Twilio, Toast and PagerDuty.
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Situated among an abundance of lakes, hills and lush greenery, the capital of Texas is home to a diverse culture and is a refuge for outdoor enthusiasts and music lovers. Known for its vibrant and youthful social life, Austin is also home to Texas’ high-tech corridor and one of the nation’s largest music and film festivals.
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Partner with One Ryan’s Collective Insights vertically integrated teams including: Development Team, Design, Preconstruction, Construction, Capital Markets, Legal, Risk Management, Asset Management, other Shared Services and Ryan Multifamily Sector.
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Master's degree with 18 graduate hours in educational psychology, psychology, or education including three graduate hours in learning strategies or human learning or adult learning or cognitive psychology or learning motivation and emotion or biological bases or behavior.
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Knowledge of data warehouse concepts, business intelligence tools, cloud computing, and artificial intelligence/machine learning. Prepare data for various data and analytics use cases, including business intelligence and machine learning.
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Understanding of machine learning, computer vision, and robotics. Join our dynamic full-stack team on a mission to create impactful machine learning solutions deployable across diverse platforms.
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