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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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Skilled in multiple programming languages and statistical analyses/ machine learning tools (Python, R, SAS, SQL, Pyspark) and extensive experience in Big Data platforms (AWS, S3, Azure/Databricks.
$264,800 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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This position is a great opportunity to use your machine learning, data engineering, AWS cloud service skills to enable machine learning as a service at scale at Procore. Experience with problem framing across multiple data science and machine learning subdomains, including forecasting, anomaly detection, classification, and regression.
$218,185 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning. Machine Learning and Deep Learning: Utilize machine learning frameworks (e.g., TensorFlow, PyTorch) to train and optimize NLP models.
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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.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics. Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics is required.
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Knowledge or expertise in one or more of the following is a plus: visual design, machine learning, mobile applications, web applications, messaging interfaces, illustration, video/film production.
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Experience with physical modeling, underwater acoustics, wave propagation, signal processing and/or sonar; detection, localization, tracking and classification algorithms and applications; applied mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance, GPU, or cloud-computing experience.
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Experience with Machine Learning/Deep Learning Excellent verbal and written communication skills ACADEMIC CREDENTIALS: Bachelors or Masters degree in computer engineering/Electrical Engineering LOCATION: Austin, TX #LI-SL3 At AMD, your base pay is one part of your total rewards package.
$204,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Handling both structured and unstructured data and converting into usable information for Predictive Analytics & Machine Learning use cases. Partnering with platform and application engineers to troubleshoot Predictive Analytics & Machine Learning ETL related issues.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Work closely with brilliant leaders and teammates from companies like McKinsey, BCG, Nvidia, Better, Nerdwallet, Wayfair, Sofi, etc.
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PhD inComputer Science, Operations Research, Statistics, or highly quantitative field with strength in Deep Learning, Machine Learning, Data Analytics, Statistical or other mathematical analysis.
$188,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Enable to leverage machine learning to identify potential fraud, money laundering and other financial crimes to enhance Western Union’s ability to proactively prevent and accurately report suspicious activity.
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machine learning jobs in Austin, TN, Hawaii
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