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As a Machine Learning Engineer, you'd be joining a talented and friendly team which loves to delight its customers with quality and robust code. Use off-the-shelf machine learning solution to provide simple initial solutions for fraud detection.
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Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Django | MLOps | Computer Vision | Imaging | Python | GIS | Location Data. As an AI/Machine Learning Engineer, you can expect to earn up to $150,000 (depending on experience) and highly competitive benefits.
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As a Machine Learning Manager supporting the Healthcare Fraud Prevention Partnership (HFPP), you will manage a team of Machine Learning (ML) Engineers who specialize in deploying ML models to detect Fraud, Waste and Abuse (FWA.
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The Sponsor seeks to develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.
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I have been working at Nutanix since May 2021, primarily on the machine learning algorithm side but also in areas like MLOPs lifecycle management, data preparation, and deployment. Job title: Machine Learning Engineer.
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Deep Learning Ninja: Proven experience in designing and implementing machine learning solutions utilizing GCP and various algorithms (e.g., TensorFlow, PyTorch). As a Machine Learning Engineer specializing in Google Cloud Platform (GCP), you'll lead the charge in developing and deploying cutting-edge solutions that extract valuable insights and drive tangible business outcomes.
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Machine Learning Engineer - Google Cloud Platform (GCP) Shape the future with next-generation AI: Join us as a Machine Learning Engineer! AI Architect: Design scalable and secure machine learning solutions on GCP, tailoring them to unique industry challenges.
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Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI. and exciting projects with new opportunities and learning.
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There aren’t many places that can offer you that kind of deep positive impact, not to mention the opportunity to work at the frontier of synthetic biology’s machine learning revolution. We have already seen some impressive results from our work – early versions of our first vaccine candidate perform 10-120x better than existing mRNA vaccines in pseudovirus neutralization assays against key COVID-19 variants – but we need to expand our team with a small number of exceptionally competent and insatiably curious machine learning folks to keep the momentum going.
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Machine Learning Scientist II would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires 4 years of related work experience.
$110,500 - $180,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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.
$126,000 - $216,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proven ability to Formulate data science and machine learning strategies to align with business objectives. Advanced experience developing Machine Learning models or ML Ops processes.
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The company uses computer vision and machine learning technology to analyze entire buildings: from full HVAC systems to solar panels to pavement. AI/Machine Learning Engineer.
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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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Data science, machine learning, optimization models, Master's degree 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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machine learning jobs Title: expert Company: Gartner
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