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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc.
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World Learning is seeking Chiefs of Party (COPs) for upcoming USAID projects across Asia, Eastern Europe, Latin America, the Middle East and North Africa, and Sub-Saharan Africa. World Learning provides a comprehensive and competitive benefits package that includes: medical, dental, vision, FSA/HRA, Life/AD&D, Short Term/Long Term Disability, EAP, Parking and Transit, 403 (b) retirement plan for full-time and eligibile part-time employees.
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Certifications related to specific cloud platform like AWS Certified Solutions Architect, Azure Solutions Architect, Google Professional Cloud Architect. Implement continuous integration and continuous deployment (CI/CD) automation tools and frameworks to streamline the organization's deployments and scaling of applications.
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Experience with Azure DevOps CI/CD pipeline testing and deployment process Experience in DevOps tools like Azure DevOps, Jenkins, Maven, Git Work Location: US Based Remote. Learning and experience isn’t a one-way path, if you believe you have the background needed to make an impact in this role, we’d love to hear from you.
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Qlik Sense Data Architect certification. Must have experience as a Data Visualization Developer utilizing Qlik Sense - Experience with DevOps process using Jira, etc. Ability to design and build Qlik Sense Applications/Dashboards - Ability to build dashboard wireframes - Experience with Data Preparation / Data Engineering for use in Visualizations - Familiarity and experience with manual and automated testing throughout all lifecycle phases.
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Job DescriptionFincantieri Marinette Marine, a Fincantieri Marine Group Company, is a progressive shipyard specializing in building ships for the United States Navy. We currently have an opportunity for a Senior Naval Architect at our Washington, DC location.
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Architect and implement a cloud-agnostic IaC framework using tools like Terraform, Ansible, Pulumi, or similar, ensuring seamless integration across AWS, Azure, GCP, and our private cloud within our on-premises data centers.
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Provide subject matter expertise with experience in the following technical areas: Artificial Intelligence (AI)/Machine Learning to assess the performance of software which shall enable autonomous vehicle and control elements, perception, cognition, and action of system controls within an existing prototype.
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Solutions Architecture certification, such as AWS CSA or Azure Solutions Architect), Cloud Machine Learning certification, such as AWS Machine Learning, Azure Data Scientist Associate, or Databricks Certified Machine Learning Professional.
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Wolters Kluwer Tax & Accounting North America is looking for a Sr. Field Sales Manager to join our Research & Learning team in a remote home office in the Northeast! As a Sr. Field Sales Manager for Wolters Kluwer Research & Learning, you will have primary responsibility for driving profitable sales growth in assigned accounting firms within a geographic territory that meets or exceeds sales goals.
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Serves as primary Nutanix Administrator: Configuring and deploying virtual machines as needed, Managing Nutanix environment thru Prism interface, Patching/upgrading Nutanix environment, Deployment/management of Nutanix Flow, Deployment/management of Nutanix Files, Deployment/management of Nutanix Era, Assist with the disaster recovery testing.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. The role will interface with internal and external stakeholders and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities.
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Familiarity with containerization and orchestration technologies like Docker and Kubernetes •Experience with architectures supporting full Software Development Life Cycle (SDLC) and/or Machine Learning Operations (MLOps) •Strong experience with Infrastructure as Code. •Familiarity with machine learning and generative AI, object-oriented programming languages, cybersecurity, and relational databases.
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Position:Monitoring, Evaluation and Learning Manager – Integrated Land and Resource Governance II Location: Washington, DC Metro Area Position Status: Proposal, Full-time, Regular About DAI DAI works at the cutting edge of international development, combining technical excellence, professional project management, and exceptional customer service to solve the most complex development problems.
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