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Container Orchestration Platform : Experience with Kubernetes, AWS EKS, Red Hat OpenShift, Platform 9, or VMware Tanzu. Build strategy to migrate Legacy applications by conversion to multiple Microservices and hosting on AWS Cloud platform.
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Experience with Docker, AWS Admin Red Hat/OpenShift v4. Familiarity with software upgrades in AWS, i.e. upgrading Java, Red Hat. Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Experience in provisioning AWS/Azure Cloud infrastructure using Infrastructure as Code (IaC): Terraform, CloudFormation, Serverless Framework, Serverless Application Model. Proficiency in Azure infrastructure provisioning, configuration management, and deployment automation using tools like Terraform, Azure Resource Manager, PowerShell, or Azure CLI.
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Preferred Certifications CompTIA Security+ TOGAF certification AWS Certified Solutions Architect – Professional Required Clearance DoD Top Secret About Us Founded in 2013, INflow Federal has distinguished itself through our exceptional services because of our deep-rooted commitment to our people.
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Working knowledge of Native AWS Security tools (Macie, Guard Duty, Inspector, Control Tower) along with Google Cloud and Azure. Perform security assessments on cloud deployments in AWS, Azure, and Google.
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You'll develop strategies to protect CDAO's technical offerings from insider threats, leveraging machine learning and deep learning techniques with tools like Jupyter, Spark, TensorFlow, or PyTorch.
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AWS Certified Solutions Architect - Professional. Proven expertise in AI Services, Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering domains.
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The Principal Machine Learning Engineer (PMLE) will serve as a key technical leader within US Foods’ Machine Learning Operations team and will help drive our advancements in AI and Generative AI. They will provide thought leadership across our Analytics & Data Science organization and work closely with ML Engineers, Data Scientists, and business leaders to design, develop, and deploy industry-leading AI solutions.
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2+ years of education or experience in at least one technical area related to next-generation wireless communications including 5G, 6G, ORAN, and LED satellites; advanced computing, including quantum, artificial intelligence/machine learning, and high performance computing; biotechnology, including neuroscience, human DNA forensics.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Experience with the following technologies: Cisco Switches and routers S2S connections DMVPNs Advanced routing (BGP) Palo Alto Firewalls AWS network design and implementations (VPCs, Route 53, Amazon Firewall Services.
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Partners include Databricks, Snowflake, AWS, Azure, Google Cloud, and Starburst. Partners include Databricks, Snowflake, AWS, Azure, Google Cloud, and Starburst. Investors include Greenspring Associates, March Capital, Ten Eleven Ventures, Intel Capital Corporation, NGP Capital, DFJ Growth, Dell Technologies Capital, Citi Ventures, Inc, Wipro Ventures, and Okta Ventures.
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MS/PhD in areas of interest which include Defense (biosecurity, intel, threat assessment), Machine learning and modeling (computational biology, bio- or medically focused AI/ML, digital twins, predictive and multi-scale modeling) and chemistry (medicinal, organic, inorganic.
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Extended Learning and Academic Recovery: The Extended Learning and Academic Recovery team develops extended learning opportunities such as afterschool programs and summer school, overseeing most of DCPS' K-12 summer school programs including enrichment and retention programs.
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