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Relevant certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, Certified Kubernetes Administrator) are a plus. Proven experience with LoadRunner, Selenium, Docker, Kubernetes, Jenkins, Azure DevOps, Veracode, MSFT Power Platform, MSFT Power Automate, and cloud platforms (Azure/AWS.
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Strong knowledge of configuration management software such as Power Shell, Tera form, Ansible, Continuous integration tools such as Azure DevOps, Jenkins. Engineers in the group can be found wearing any number of hats: from software engineer, reliability engineer to developer advocate and evangelist.
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Lead Software Engineer, DevOps. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer. Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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5+ years of experience in a DevOps role or a related field Proven experience as a Cloud Operations Engineer or a similar role, with a focus on Microsoft Azure, Kubernetes, Micro Services, Office 365, and Citrix Cloud Proven experience with Microsoft Azure, including IaaS, PaaS, and SaaS offerings Experience with SDLC and rich experience with Deployment pipeline and release, Agile methodologies.
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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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Our provides end-to-end lifecycle support for Navy Reserve business systems, including full-stack web/mobile-responsive development, SharePoint knowledge management and development, machine learning, date warehouse administration, desktop/server administration, networking, and AWS cloud infrastructure support.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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As a Quantum Computing Research Scientist Vice President within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will have the opportunity to advance the theoretical understanding of quantum algorithms for optimization, stochastic modelling, numerical analysis, machine learning and financial use cases.
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Familiarity with enterprise technology tools: Tidal Enterprise Scheduler, Service Now, JIRA, Confluence, Azure DevOps, Azure GIT. The team works closely with front office groups and the technology teams that support them, including but not limited to Operational and Investment Risk, Institutional Equities & MAC investment teams, Fixed Income, Equity Research, and Wealth Management across the firm’s global offices.
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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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Global Banking and Markets Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years.
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Knowledge of data analytics, machine learning, and AI applications in pharmaceutical manufacturing. Including, Kubernetes, Microservices, Cloud Data bases MongoDB, Kafka, Spring Boot, DevOps, Jenkins, React, Node.js.
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In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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3+ years professional experience in technology research in the emerging technology space or a related position (related investment banking, equity research, consulting, or journalism experience), preferably in artificial intelligence, quantum computing, blockchain, AR/VR, or other deeptech areas.
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