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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. Categorize incoming products by UPC (Universal Product Code.
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Sr. Cloud Architect , you will design robust, secure, and maintainable solutions that enable our advanced Analytics, Reporting, and Machine Learning capabilities for the Customer, Product and Credit teams.
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This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, and driving data-driven decision-making.
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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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What you’ll be responsible for:As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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About the RoleAs a Machine Learning Engineer - Technical Lead II for Crowe Intelligent Document Analyzer (CIDA), you will design the future of this document extraction product as it transitions from a combination of Natural Language Processing and embeddings models to fully integrate with Crowe’s in-house Generative AI platform and to leverage Large Language Models (LLMs.
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2+ years of experience as a product manager or owner in the crypto space with a proven track record of taking products from ideation to launch. We are seeking a Product Owner for DEX. In this position, you will help shape products’ functionality, features, requirements, and specifications, shepherding the development to reach the desired outcome.
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The Generative Unconstrained Intelligent Drug Engineering (GUIDE) project has an opening for a Senior bioengineer who is responsible for the efficient, smooth, and effective management of a team and simulation- and machine-learning-driven computational pipeline to redesign antibodies.
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Partner with Machine Learning DevOps to understand requirements for product scalability, stability, and maintainability, e.g., to improve document queueing or throughput. You enjoy machine learning and understand supporting these solutions in a production environment using tools like Docker and Git; you’re familiar with Kubernetes.
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Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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Proficiency in at least one of the following deep learning framework, tensorflow, pytorch Proficient in core technologies like Spark, Hadoop and Hive. Proficiency in at least one of the following programming languages, Python, scala, Java. 5 years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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Responsibilities Lead the design, development, testing, deployment, and support of machine learning (ML) models in a cloud environment. The Security Machine Learning squad is responsible for the design and development of online and offline machine learning (ML) features and models to detect malicious traffic and activity across the Identity Engineering platform using state of the art algorithms and tools.
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