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4+ years of hands-on experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., 2+ years of experience in building solutions for AI/ML cognitive services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment.
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Hands on experience with security tools such as Qualys, Nessus, SonarQube, Veracode, Burp Suite, Nexpose, Snort, or MetasploitExperience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes.
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Within the Firmware Center of Excellence, we’re looking for a customer-focused, hands-on Principal Software Development Engineer (SDE) to help us develop a suite of system validation and diagnostic tests running on Microsoft’s next generation Azure AI Accelerator SoC. You will be working on the latest state-of-the art technologies, in a fun environment with a talented group of individuals with diverse backgrounds and skillsets and located in different geographic locations.
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Preferred Working hands on familiarity with HCM, Oracle Financial, SailPoint IIQ, Service Now,Power BI etc. Knowledge of Azure AD/Active Directory, SSO and MFA and IGA In-depth experience with MS Excel, Visio and PowerPoint Strong Understanding of business process design, security protocols, access controls, andrisk management, including risk analysis, mitigation, and monitoring Good interpersonal skills, and the ability to communicate effectively verbally and written with end users at all levels of the organization.
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As a Sr. Engineer O365 Collaboration is responsible for service operations and support for all managed services through central console like, Exchange online, Azure Active Directory, On-Prem AD, AzureAD connect/ADFS, DLP, Litigation hold, MFA, Conditional access policies, Intune, MAM/MDM, Endpoint management, MS Teams, SharePoint, etc.
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Proficiency in cloud platforms, with hands-on experience in AWS, Azure, and/or GCP.Deep understanding of machine learning concepts including supervised, unsupervised, semi-supervised, and reinforcement learning.
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Must be very strong hands-on with Spring Boot, Spring Data JPA, Hibernate, Angular 6 (or above), JavaScript, jQuery, HTML5, CSS. Hands-on technical lead experience. Knowledge of Azure DevOps, AWS, or Google Cloud Platform.
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Re-designing Oracle Unified Directorydeploying ForgeRock Directory and ForgeRock IDM in public cloud(AWS/AZURE)Work on customization of ForgeRock IDMSkills/Knowledge Desired:Comprehensive knowledge and hands-on experience with ForgeRock Directory/ForgeRock IDMHands on experience of ForgeRock Directory Services like userstore configstore and tokenstoreFamiliarity with Java development and related technologies is essential for customization, configuration, and integration tasks.
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Hands-on experience with common container and container orchestration solutions, e.g., Docker and Kubernetes. Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
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The Azure Cloud and DevOps Trainer/Developer/Engineer is a versatile role that combines the responsibilities of developing and delivering Azure cloud migration from on-premises systems to Microsoft Azure cloud with High Available/DR capacity and DevOps training programs with the hands-on work of developing and maintaining Gitlab DevOps tools and pipelines.
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Minimum 4 years of hands-on experience with a major cloud vendor (AWS, Azure, or GCP), with Architect certification with one Cloud Vendor. Hands on experience architecting solutions that involve SAAS applications such as Salesforce, SAP, MDM, domain specific solutions, and custom developed applications using containers and Kubernetes.
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Hands on experience with Kubernetes, OpenShift or similar container orchestration systems. Hands on experience with Python, shell scripting, Groovy, Golang, etc. Hands on experience exposing / consuming metrics and other system KPIs; DataDog, PagerDuty, Prometheus, Grafana, AlertManager experience a plus.
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Strong software engineering skills working with tools such as Azure/DevOps, GIT, CMake, Docker/Container. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively.
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The Candidate must have strong hands-on experience with Splunk administration; with the ability to set up servers/forwarders to capture endpoint and network logs. Experience with Splunk integrations to Kubernetes, AWS, Azure and/or Okta.
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The ideal candidate would have experience on data conversion projects, be a hands-on project team member, and have experience as a functional resource, including experience researching processing requirements between upstream and downstream systems.
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