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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this position, you will research and develop techniques to GPU-accelerate high-performance workloads in the finance domain - primarily focusing on Deep Learning, Machine Learning and Data Analytics applications.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
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Analyze large volumes of high-velocity financial data to identify patterns and anomalies indicative of errors, utilizing statistical and machine learning techniques. Good understanding of financial data, machine learning algorithms, and frameworks.
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Familiarity with AI frameworks; such as TensorFlow, PyTorch; and machine learning models is a plus, showcasing your readiness to engage in AI development. You are a seasoned software engineer with a versatile skill set, open to diving into new technologies and domains, especially AI and Machine Learning.
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They are looking to hire a strong Machine Learning Engineer to architect, code and tune their large-scale ML models. Machine Learning Engineer. Take ownership of large scale machine learning models including the design, building and tuning of models.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
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Implement advanced machine learning algorithms into practical, scalable applications that are integrated into broader systems. Proven experience in integrating machine learning models into scalable production environments.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have familiarity with AI and machine learning technologies, demonstrating a deep understanding of how these can be applied to drive innovation and efficiency. Director, Software Engineering - Software & AI Transformation.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine-learning, statistical analysis, artificial intelligence, predictive analytics. TRS offers a best-in-class combination of technology and continuous learning opportunities to equip you to solve problems, expand your knowledge, and create impact for 1 in 20 Texans.
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AWS Applications and Higher Level Abstractions (Apps) provides horizontal and industry vertical applications for business users with the same on-demand scalability, reliability, pay-as-you-go pricing, and machine learning expertise that drive AWS services.
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Responsibilities: The Gait Control Engineer is a critical position and will be responsible for leading the development of the gait control algorithm by applying machine learning, sensor fusion and bipedal locomotion control.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Insights Discovery |Servant Leadership | Lencioni |OKRs |Collaboration |Hyper-growth | VUCA | Continuous learning | Strategic innovation machine| Take risks& fail forward |High performing team model |Culture of coaching |Growth mindset & change leadership |Value creation through customer success.
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Background in Cloud, Security, or Machine Learning. Experience with SAAS sales - cloud, logs, metrics, IT operations and security. Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, or HIV/AIDS.
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machine learning jobs in Austin, Plainfield, Indiana
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