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This is an individual contributor, hands-on role that requires strong technical acumen, deep analytics/business intelligence knowledge, and sharp product management skills along with a can-do attitude to build the best possible experience for our customers.
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Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Experience with cloud database technologies (e.g., Azure) and developing solutions on cloud computing servicesand infrastructure in the data and analytics space.
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We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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Software Development, Application Development, Quality Assurance Services, DevOps, E-commerce, Mobile Application Development, Information Technology & Consulting Services, Blockchain Technologies, Information Technology, IT Consulting, Amazon Web Services, Azure, AWS, Ethereum, Engineering, Program and Project Management, Test Automation, Hyperledger, DAPS, Corda, Production Support, Product development, Offshore & Onsite Services, API development, and Artificial Intelligence.
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As a Senior Engineer on the Streaming team, you will help to build real-time streaming capabilities for TRM’s core serving layer. Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime at an unprecedented scale.
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The process development engineer will be heavily involved in hands-on R&D, coming up with creative solutions to achieve our technical objectives, and will wear multiple hats in between.
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You are very comfortable building out reporting in at least one business intelligence tool (e.g. Tableau, Looker, Power BI), and building pipelines for last mile datasets for these tools. We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us.
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Expert in SQL, capable in Python, and experience with Business Intelligence tools such as Looker, Mode Analytics or Tableau. Uses software development best practices with a focus on testing, reliability and maintainability.
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Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Develop expertise on the Capital One threat landscape using internal data, threat trends, and operational metrics to clearly communicate the Capital One threat landscape to senior executives, to include the Chief Information Security Officer and Chief Information Officer.
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The DEB is the epicenter of many of UCSF's initiatives in population health, data science and informatics, health service research, health equity, and artificial intelligence. The CAO participates in immediate and long-term planning for the DEB to maximize limited resources and increase opportunities for the faculty members to focus on their research programs and teaching responsibilities.
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Hands-on practical Offensive Cybersecurity certifications (OSCP, OSWE, eJPT, Pentest+, eCPPT, eCPTX, eWPT, eWAPTX, GIAC, etc.) This includes conducting application and network penetration testing on all Early Warning product offerings to assess the product and infrastructure security posture.
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Hands-on experience utilizing molecular biology approaches like PCR, DNA isolation, and molecular cloning; gene editing technology is a plus. Deploying molecular biology techniques on primary cells, including next generation sequencing (NGS) and gene editing techniques.
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Formulate and apply novel machine learning solutions to the energy domain : Tackle complex deep learning & machine learning problems by researching published academic literature, surveying industry techniques & intuition, and executing hands-on experimental testing & modeling.
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Hands-on experience with VMs and container technologies (e.g., OpenStack, Docker, Kubernetes) Development and software management on Linux systems (e.g., CentOS, RHEL) If you excel in any of these areas and are passionate to learn about the others, this is an exciting role to make a significant technical and business impact while operating on one of the largest cloud platforms in the world.
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hands on artificial intelligence jobs Title: full stack engineer in San Francisco, CA
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