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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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Familiarity with blockchain, machine learning, and artificial intelligence applications in fintech. JOB SUMMARY: We are seeking a highly experienced and visionary Principal Architect to lead the design and implementation of our technical architecture in the fintech space.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Lead the development of predictive models and machine-learning algorithms. · Prior intern/research lab experience using one of the Machine Learning Engineering / Data Engineering tools – Databricks, Snowflake, Airflow · Extensive Visualization Experience –Tableau/PowerBI work portfolio · Prior intern/research lab experience with ChatBot AI – NLP, Deep Learning, LLM.
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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The candidate will manage all aspects of the computational redesign campaign, and, as such, requires deep technical expertise in protein and structural biology/bioegineering or machine learning and simulation tools, and a willingness to gain complementary expertise.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US.
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Ideal candidate would have at least 3 years of industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. This is an exciting opportunity to be exposed to cutting-edge technology in a wide array of technical fields.
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Within this group, you will be exposed to a diverse array of electrical and computer related applications (i.e., telecom networks, 5G, 6G, LTE Advanced, Wi-Fi, industrial control systems, robotics, medical devices, artificial intelligence (AI), machine learning (ML), mesh neural networks, deep learning, cloud computing, virtual machines, operating systems, computer architecture, cybersecurity, blockchain, image and video processing, etc.
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Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. Work with databases, cloud computing, or application development/support would be particularly relevant.
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Technical Skills – make the link between business problems and technology solutions with a cloud-first mindset. You can demonstrate at least two years of experience in a technical role with a relevant post-secondary degree.
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Continuous Learning – stay up-to-date with emerging technologies, changes in the banking industry, and regulatory developments. Express technical concepts to non-technical audiences.
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Deep understanding and experience building machine learning (ML), high performance computing (HPC), or graphics applications in cloud environments. Crusoe Cloud is a managed cloud services platform that brings scalable, clean, low-cost cloud computing to the world's bravest thinkers in computationally intensive fields including artificial intelligence, graphics rendering, scientific computing, and computational biology.
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Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. Proficiency in technical writing is a plus.
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SAIC is hiring a Senior Cloud Computing Engineer with an active Interim Secret clearance to join the Cloud One Digital Engineering Team. AWS Cloud Certification with experience as AWS Cloud Engineer.
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machine learning technical lead cloud computing jobs Company: Stanford University
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