| Job Opening For GCP Architect and Solution Designer || Dallas, TX | Charlotte, NC Onsite || Contract at Dallas, Texas, USA |
| Email: [email protected] |
| From: Venkatesh, Smart IT Frame [email protected] Reply to: [email protected] Hi All, Warm greetings from Smart IT Frame! We are currently seeking candidates for an exciting job opportunity within our organization. If you're interested in learning more about this role, please don't hesitate to get in touch. You can either share your updated resume. Role: GCP Architect and Solution Designer Location: Dallas, TX |Charlotte, NC Onsite Type: Contract Responsibilities: Design and architect scalable cloud platforms to develop, deploy scalable integration and PetaByte scale data migration, and AI solutions leveraging ML techniques. Drive Joint Architecture Design to collaborating with business stakeholders, data scientists, engineering teams, product, and other key partners to gather functional, non-functional requirements for solving AI use case on the AI Platform Design foundational solutions to enable multiple batch and real time integration patterns between On Premise and Cloud Evaluate emerging technologies and tools in the AI area and do fitment analysis to the Enterprise AI Platform and capabilities strategy. Define and implement GCP architecture best practices, frameworks, and standards. Lead GCP infrastructure setup, including cloud services selection, data pipelines, and model deployment. Ensure robustness, reliability, and scalability of solutions in production environments. Design and implement data governance, security, and compliance measures for data and non-data objects. Optimize ML workflows for performance, cost efficiency, and resource utilization. Provide technical leadership and mentorship to development teams. Communicate architecture decisions and solution design to stakeholders and executives. Requirements: Proven experience as GCP Architect Deep understanding of ML algorithms, Vertex ASI, Big Query, Data Proc, Composer, STS, DataPlex Strong knowledge of development life cycle, software engineering principles, data engineering principles Experience with containerization and orchestration tools on prem and cloud (e.g GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/ML models. Ability to design and optimize distributed computing systems for AI/ML workloads. Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts. Excellent problem-solving skills and ability to address complex technical challenges. Effective communication skills to collaborate with cross-functional teams and stakeholders. Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology North Carolina Texas Job Opening For GCP Architect and Solution Designer || Dallas, TX | Charlotte, NC Onsite || Contract [email protected] |
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| Fri Oct 25 22:11:00 UTC 2024 |