67749

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Full Time
Onsite

Job Summary

The engineer is tasked with the responsibility of designing, constructing, and managing robust and secure AI infrastructure. This role involves establishing standards for production readiness across various agentic AI platforms, while also ensuring the successful deployment and operational integrity of AI applications.

Responsibilities

  • Design and implement scalable and secure AI infrastructure.
  • Establish production-readiness criteria across AI platforms.
  • Manage continuous integration and continuous delivery (CI/CD) pipelines.
  • Implement governance frameworks and controls for AI systems.
  • Ensure observability and reliability of AI workloads.

Qualifications

  • Minimum of five years of experience in cloud infrastructure, DevOps, or MLOps.
  • Proficient in using AWS and Azure cloud services.
  • Strong knowledge of infrastructure as code practices.
  • Experience in security protocols related to AI systems.
  • Demonstrated ability to work collaboratively in environments with multiple stakeholders.

Mission US provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
To apply for this job, please upload your resume.
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Back to Top Machine Learning Ops, AI Engineer
Machine Learning Ops, AI Engineer
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