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Accenture in India
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AI Infrastructure Architect

AI Infrastructure Architect

Accenture in India

7 years

0 Lacs

bhubaneswar odisha india

Posted:1 week ago| Platform:

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Skills Required

ai power scalability stack technology evaluation azure learning design integration architecture code terraform ansible containerization docker kubernetes data management storage

Work Mode

On-site

Job Type

Full Time

Job Description

Project Role :

AI Infrastructure Architect

Project Role Description :

Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.

Must have skills :

Microsoft Azure Machine Learning

Good to have skills :

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification :

15 years full time educationSummary: As an AI Infrastructure Architect, you will engage in the design and construction of tailored Artificial Intelligence infrastructure and hardware solutions. Your typical day will involve optimizing the performance, power consumption, cost, and scalability of the computational stack. You will also provide expert advice on AI infrastructure technology, vendor evaluation, selection, and full stack integration, ensuring that the systems you develop meet the evolving needs of the organization and its projects. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and best practices within the team and across departments. - Evaluate emerging technologies and recommend enhancements to existing infrastructure. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Machine Learning. - Strong understanding of cloud computing principles and architecture. - Experience with infrastructure as code tools such as Terraform or Ansible. - Familiarity with containerization technologies like Docker and Kubernetes. - Knowledge of data management and storage solutions relevant to AI workloads. Additional Information: - The candidate should have minimum 7.5 years of experience in Microsoft Azure Machine Learning. - This position is based at our Bhubaneswar office. - A 15 years full time education is required.

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AI Infrastructure Architect