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Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Participate in the full software development lifecycle, including requirement analysis, system design, coding, testing, deployment, and maintenance. Write unit and integration tests to ensure software quality.
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Columbia University is a leader in the burgeoning field of data science, with depth drawing from foundational strengths in computer science, artificial intelligence, machine learning, statistics and operations research, and the breadth of applications in every field of inquiry offered university-wide.
$120,000 - $175,000 depends on experienceExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The group puts innovation at the heart of its development and intervenes in areas related to the technological changes of large groups, such as Artificial Intelligence, Data Intelligence, Web3, Metaverse, Blockchain or IoT.
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The role of Biomedical Software Developer is a crucial part of the team, participating in the full life cycle of application development and automating data engineering infrastructure.
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Graduate with a first degree in Mathematics, Computational Finance, Data Science, Computer Science, or relevant disciplines. ASTRI’s core R&D competence in various areas is grouped under five Technology Divisions: Communications Technologies, Artificial Intelligence and Trust Technologies, Advanced Electronic Components and Systems, IoT Sensing and AI Technologies, and Innovative Mind.
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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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Strong knowledge of Pega software design principles, best practices, and architectural frameworks. Bachelor's degree in Computer Science, Information Technology, or related field. Excellent problem-solving skills, with the ability to analyze complex data to identify potential issues.
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Experience delivering Machine Learning/Artificial Intelligence and strong knowledge of Data Science and Data Analytics, B.S. in Computer Science, Engineering, Management Information Systems, Mathematics or equivalent degree/experience.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Blockchain and Artificial Intelligence to Data Science models, Digital Underwriting, mobile-first applications and more.
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Candidates should demonstrate an expert grasp of knowledge in one or more of the following areas: data science, cybersecurity, machine learning, artificial intelligence, data structures and algorithms, software engineering, operating systems, computer networks, and databases, either through a record of teaching excellence, or through industrial experience.
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DPEA enables that data center which is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.
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Academic credentials in Computer Science or a related field from a top-tier institution, coupled with tangible software engineering and product scaling experience. Zeta Global (NYSE: ZETA) is the Data-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently.
$150,000 - $200,000Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We're looking for outstanding engineers and scientists to apply their parallel programming skills to accelerate NVIDIA's open source software suite for data science, RAPIDS. RAPIDS combines the performance of modern GPUs with the ease of use of Python and Scala APIs. You will work on building the computational core for dataframe and database accelerators - a highly-optimized C.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago
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