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What you will be doing:Lead and mentor a cross-functional squad of engineers, developers, analysts, and data scientists.Drive Agile delivery practices to ensure timely, high-quality deployment of AI solutions.Own the technical roadmap for AI production, including MLOps, LLMOps, and scalable cloud infrastructure.Oversee architectural decisions related to model deployment, data pipelines, and cloud-native solutions.Translate AI and data science prototypes into production-ready applications.Implement monitoring, alerting, and incident response processes for AI systems in production.Champion best practices in CI/CD, testing, observability, and operational resilience for ML and LLM solutions.Collaborate with platform and infrastructure teams to ensure seamless system integration and scalability.Influence the velocity, reliability, and quality of AI delivery across the organisation.Represent the AI Enablement capability in strategic forums and contribute to organisation-wide innovation.What we are looking for:Masters degree in computer science, Engineering, or a related field. (*Transcript Required)12+ years experience in software engineering, data engineering, or AI production environments.Minimum 4 years experience in Machine LearningProven delivery of at least 3 large AI projects into productionStrong hands-on AI Operations and MLOps experienceCloud platform experience (GCP preferred, other platforms considered)Strong leadership and stakeholder interfacing capabilityProven experience leading technical teams and delivering complex, enterprise-scale solutions.Advanced proficiency in Python, SQL, and cloud-native development.Hands-on experience with CI/CD pipelines, containerisation (Docker, Kubernetes), and infrastructure-as-code.Strong system design, architectural, and problem-solving skills.Excellent communication skills with the ability to articulate complex technical concepts clearly to diverse stakeholders.Ownership mindset with resilience, adaptability, and a results-driven approach.Advantageous experience:Postgraduate qualification in AI, Data Science, or Systems Engineering.Exposure to platforms and tools such as Vertex AI, BigQuery, Cloud Composer, and Kubeflow. Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.Follow for the Latest Vacancies
https://www.jobplacements.com/Jobs/A/AI-Transformation-Lead-1247043-Job-Search-01-20-2026-00-00-00-AM.asp?sid=gumtree
11d
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Cloud and Identity ManagerGlobal Company is seeking an experienced Cloud and Identity Manager to join their team.MAIN PURPOSE OF THE JOB: The Manager, Cloud & Identity is responsible for the delivery, optimization, and governance of the organization’s Azure cloud platforms, with a strong emphasis on cost management (FinOps), automation, and scalable cloud operations.This role leads the evolution of Azure as a self-service, secure, and cost-efficient platform, enabling application teams to rapidly consume cloud resources while maintaining enterprise controls.Identity services across Active Directory, Entra ID, and Silverfort serve as foundational capabilities that enable secure cloud access, automation, and Zero Trust enforcement.TECHNICAL REQUIREMENTS:Bachelor’s degree in Information Technology, Computer Science, or related field.8–10+ years of experience in Azure cloud engineering or platform operations.3+ years in a people management or technical leadership role.Strong expertise in Azure services, governance, and platform design.Proven experience implementing FinOps practices in Azure.Experience building automation and self-service cloud platforms.Solid knowledge of Active Directory, Entra ID, Conditional Access, and MFA.Familiarity with Silverfort or similar identity security platforms.Strong automation skills using PowerShell, Bicep/ARM, and CI/CD pipelines.Excellent communication and stakeholder engagement skills.PREFERRED EXPERIENCE AND QUALIFICATIONS: Microsoft Azure certifications (AZ-104, AZ-305, SC-300).Experience with Azure DevOps or GitHub Actions.Experience with Terraform in Azure environments.Exposure to AWS or GCP (secondary).Experience supporting cloud platforms in M&A scenarios.KEY COMPETENCIES: Strong written and verbal communicationExcellent time management and organizational skillsKeen attention to detailProblem solvingHard working and dedicatedComfortable in a fast-paced environmentESSENTIAL FUNCTIONS & RESPONSIBILITES: Azure Cloud Platform Management (Primary Focus) Own day-to-day operations and strategic improvement of enterprise Azure environments, ensuring reliability, scalability, security, and performance.Lead Azure platform architecture, including landing zones, networking, shared services, and management group design.Establish and enforce Azure governance standards, including RBAC, Azure Policy, tagging, naming conventions, and security baselines.Partner with application, infrastructure, and architecture teams to enable cloud migrations, refactoring, and modernization initiatives.Serve as the primary escalation point for Azure platform incidents, driving root cause an
https://www.jobplacements.com/Jobs/C/Cloud--Identity-Manager-1251247-Job-Search-01-14-2026-02-00-48-AM.asp?sid=gumtree
19d
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