| Technology Architect | Cloud Platform | Google Machine Learning , Charlotte, NC 28202 at Charlotte, North Carolina, USA |
| Email: [email protected] |
| Hi, We have an urgent requirement for Technology Architect | Cloud Platform | Google Machine Learning with our client at Charlotte, NC 28202 Drop your resumes to [email protected] Note: If you are not looking for a new opportunity, please refer someone like, will appreciate. Title : Technology Architect | Cloud Platform | Google Machine Learning Location : Charlotte, NC 28202 Duration: Long-Term Job description : Must Have Skills: Python, BIGQUERY, HADOOP AIML ML OPS, NLP GENAI VERTEX AI, GCP, Platform support Nice to have skills Auto ML technologies such as H2O Driverless AI, DataRobot, VertexAI, Elastic and Vector DB of Pyspark experience Detailed Job Description: In this role, you will: Lead and design the platform and infrastructure architecture for AIML and NLP in modern hybrid cloud computing. Participate in day-to-day standups for infrastructure and platform scrums, provide architectural solutions for public and private cloud and resolve technical blockers for the team. Collaborate and work very closely with the engineering strategy, platform engineering and development teams to understand the infrastructure requirements and drive all aspects of AIML and GENAI solution delivery to the cloud platforms. Lead teams within DTI and across the enterprise in researching and proposing highly available, resilient and fault tolerant infrastructure solutions for AIML and GENAI workloads. Define and drive infrastructure and platform roadmaps that align with technology and business strategy. Perform hardware and capacity planning, analysis, and forecasts for your portfolio of applications with focus on highest availability, scalability, performance, and timely delivery. Provide SME guidance around infrastructure and platform for product and business partners. Research industry best practices, evaluate new technologies, develop standards and engineering best practices and recommend innovative solutions that support automation and improve platform resiliency and fault tolerance of critical applications. Minimum Requirements 5+ years of experience in leading the design and implementation of grid/cluster computing infrastructure with CPU and GPUs supporting AIML and NLP workloads. 5+ years of experience with Azure and/or GCP/GKE, as well as experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.) 2+ years of experience designing solutions and working with high-performance storage technologies including Object Storage. 2+ years of experience working and supporting network infrastructure for high throughput and low latency High performance (HPC) computing. 2+ years of experience with Elastic Search 2+ years of working with big data (Big Query) Working knowledge and understanding of developing APIs using Python. Excellent understanding and working knowledge of cloud computing concepts like Virtual Private Cloud (VPC), landing zone, Identity and Access Management (IAM), App Service Environment, Blueprints, Control Plane etc. Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences. Recent and demonstrated ability to influence management on technical or business solutions. Experience with CI/CD, DevOps concepts and SRE principles. Minimum Years of Experience: >10 years Certifications Needed: No Top 3 responsibilities you would expect the Subcon to shoulder and execute: Strong communication skills Fair understanding on GEN AI Regards, Nagendar Goud Mula Sr. US IT Recruiter E: [email protected] linkedin.com/in/nagendar-goud-38680ba6 -- Keywords: continuous integration continuous deployment artificial intelligence machine learning database information technology North Carolina |
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| Fri Mar 22 00:11:00 UTC 2024 |