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Architect

JD 3


Job Summary

We are seeking an experienced Architect with 5 to 9 years of experience to join our team. The ideal candidate will have expertise in AWS CodeCommit AWS CloudFormation ML Ops AWS Machine Learning Docker AI & ML Concepts Machine Learning Artificial Intelligence Amazon Sagemaker Kubernetes Terraform and GIT. The role involves applying cash to invoices and requires working from the office during day shifts. No travel is required.


Responsibilities

  • Lead the design and implementation of scalable and secure cloud architectures using AWS services.
  • Oversee the development and deployment of machine learning models using Amazon Sagemaker.
  • Provide expertise in AI and ML concepts to drive innovative solutions.
  • Implement and manage CI/CD pipelines using AWS CodeCommit and AWS CloudFormation.
  • Utilize Docker and Kubernetes for containerization and orchestration of applications.
  • Apply cash to invoices accurately and efficiently ensuring financial integrity.
  • Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
  • Develop and maintain infrastructure as code using Terraform.
  • Ensure the reliability and performance of machine learning models in production environments.
  • Conduct code reviews and provide feedback to ensure best practices in version control using GIT.
  • Monitor and optimize the performance of cloud-based applications and services.
  • Stay updated with the latest advancements in AI ML and cloud technologies.
  • Provide technical guidance and mentorship to junior team members.

  • Qualifications

  • Possess strong experience in AWS CodeCommit AWS CloudFormation and ML Ops.
  • Demonstrate expertise in AWS Machine Learning and Amazon Sagemaker.
  • Have a solid understanding of Docker Kubernetes and Terraform.
  • Show proficiency in AI & ML Concepts Machine Learning and Artificial Intelligence.
  • Exhibit experience in applying cash to invoices.
  • Display strong problem-solving skills and attention to detail.

  • Certifications Required

    AWS Certified Solutions Architect AWS Certified Machine Learning Specialty Docker Certified Associate Kubernetes Certified Administrator

    The Cognizant community:
    We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

    • Cognizant is a global community with more than 300,000+ associates around the world.
    • We don’t just dream of a better way – we make it happen.
    • We take care of our people, clients, company, communities and climate by doing what’s right.
    • We foster an innovative environment where you can build the career path that’s right for you.

    About us:
    Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

    Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

    If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

    Disclaimer:
    Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

    Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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