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Deploy and maintain data science, machine learning and other data products using best practices in engineering. Strong programming experience in two major data programming languages – Python and Scala (preferred), Go or Java.
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Reporting to the VP of Data Engineering, as Kharon's Junior Data Engineer, you will become an integral part of our development team, contributing to our most strategic projects and participating in the architecture and scalability of the cutting-edge machine learning systems that power Kharon's suite of data products.
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You have expertise in architectural design for AI and machine learning systems. As a Senior Enterprise AI Architect, you will spearhead our Artificial Intelligence (AI) and machine learning initiatives, designing comprehensive solutions, and leading their execution.
$99,750 - $257,250Full-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Drive ground-breaking innovation and apply state of the art machine learning statistics or analytics in a variety of areas to boost Hulu and Disney in every aspect of advertising, including inventory forecasting, planning, pricing, targeting, decisioning, and efficient ad delivery.
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We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. You are happy to do hands-on coding and development in Java alongside a team of coders.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Work with our business partners to identify requirements and architecture and implement scalable, open solutions using Cloud Native technologies, including and leveraging AWS services, Machine Learning techniques, GIT, Jenkins, Docker containerization and virtualization, and Terraform.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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A track record of commitment to prior employers 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 5+ years of programming experience with modern languages such as Python, C#, Java, or Scala.
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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. Hands-on coding experience using Typescript/Javascript, Java, Python, C, C.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Two (2) years of experience must include: Java; Java 8; Spring Boot; JavaScript; Angular; React; Web services; RESTful APIs, and open source tools including Apache KAFKA; Event Driven design and development; Template driven design and development; CICD Development.
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Requires any amount of experience with the following: data analysis; Modeling and Machine Learning techniques; teaching and communicating advanced concepts; programming with a scripting language (such as Python, R, Matlab, Java, Mathematica); and probability and statistics competency.
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Operationalize machine learning models on large datasets and build production-grade data solutions (relational and NoSQL); Conduct systems monitoring/alerting, capacity planning, and performance tuning with Google Cloud data products, including CloudSOL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, B Ouery, Dataprep, and Composer.
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The Security Intelligence team is growing fast and looking for engineers who share our passion for innovation in the fields of network security, distributed systems, machine learning, and big data visualization to name a few.
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The company was the first to put AI and machine learning in its products to deliver behavioral analytics on top of security information and event management (SIEM ). Troubleshoot machine learning models and detection rules to ensure intended security use case is implemented.
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As an Applied Scientist on our Global Insights and Analytics team, you will play a key role in researching and developing cutting edge machine learning and artificial intelligence applications that enable sales and marketing teams to empower financial advisors with relevant investment solutions.
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