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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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Data science, machine learning, optimization models, PhD 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.
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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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Develop and implement train machine learning models using Google Vertex AI and Typescript, Express. Design, build, deploy machine learning models and microservices on the Google Cloud Platform.
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We work on cutting edge technologies like Machine Learning, Hadoop, Python, Scala, Pega,. We work on cutting edge technologies like AI, Machine Learning, Hadoop, Python, Scala, Pega.
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Build both batch and real-time machine learning solutions for the assessment of financial crimes risk at scale across all global markets in which Square operates. Practical experience working with both deep learning and traditional machine learning frameworks.
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As a Machine Learning Engineer, you’ll develop ML-based metrics for evaluating an autonomous vehicle system offline at large scale. Machine Learning development experience.
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3+ years of experience in machine learning, data analysis, or a related field. Strong knowledge of machine learning algorithms and data analysis techniques. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.
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PhD in a scientific discipline and a minimum of 5 years related experience; may include post-doctoral experience; Masters and 7 years of related experience; Bachelors and 9 years of related experience in data engineering, systems engineering, machine learning and operations, MLOps, or similar roles; or equivalent industry experience.
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Projects involving Intelligent Automation and AI, including RPA, BPM, Workflow, Business rules, Machine Learning and AI; Identify the “right” automation technologies to be used to optimize the process such as RPA, Workflow, AI and Machine Learning.
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Optimize and fine-tune machine learning models for performance and efficiency. 1 + years of experience in machine learning engineering or a related field. Stay updated on the latest advancements in machine learning and AI technologies.
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Data science, machine learning, optimization models, PhD 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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where “AI” is considered core to the company's success.
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Data security and privacy (e.g. GDPR, CPP) ML engineering is a rapidly changing field – most of all, we’re looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.
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We are making manufacturing fast, accurate and cost-efficient by combining optical and atomic force microscopy with machine learning and artificial intelligence. code, working with hardware and software, ability to grasp high order concepts in physics, microscopy, hardware design, automation, and robotics, experience with computer vision and machine learning, experience with image processing, experience working with an agile team, experience in SQL.
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machine learning jobs Title: sr data scientist Company: Verizon
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