Senior Mlops / Aiops Engineer - Mlflow, Gcp, Vertex Ai, Ibm Watsonx, Terraform

UPS

Not specified; not specified; not specified
Ibm watsonx platform configuration
Google cloud vertex ai management
Terraform infrastructure as code
This role focuses on building, configuring, and operationalizing secure, scalable, and reusable infrastructure for enterprise AI initiatives

Job Summary

  • This role focuses on building, configuring, and operationalizing secure, scalable, and reusable infrastructure for enterprise AI initiatives.
  • The ideal candidate will lead the provisioning of IBM watsonx and Google Cloud Vertex AI platforms while ensuring production readiness.
  • Candidates must embed security guardrails across the ML lifecycle and implement policy-as-code to meet strict regulatory standards.

Matching Summary

This role focuses on building, configuring, and operationalizing secure, scalable, and reusable infrastructure for enterprise AI initiatives.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • IBM watsonx platform configuration
  • Google Cloud Vertex AI management
  • Terraform Infrastructure as Code
  • DevSecOps security integration
  • Python and Bash scripting

Nice-to-have

  • Open-source MLOps contributions
  • Responsible AI governance practices
  • Enterprise feature store experience
  • HIPAA FedRAMP regulatory knowledge
  • Generative AI application support

Key Requirements

  • Bachelor's or Master's degree in Computer Science
  • 5+ years in MLOps or Platform Engineering
  • 2+ years applying DevSecOps practices
  • Hands-on experience with IBM watsonx and Vertex AI

Work Rights

Not specified

Tailored Resume

Cover Letter