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

UPS

In, IN, United States
Enterprise ai/ml platform management
Infrastructure as code with terraform
Devsecops practices in ci/cd pipelines
We are seeking a Senior MLOps / AIOps Platform Engineer with deep DevSecOps expertise and hands-on experience managing enterprise-grade AI/ML platforms

Job Summary

  • We are seeking a Senior MLOps / AIOps Platform Engineer with deep DevSecOps expertise and hands-on experience managing enterprise-grade AI/ML platforms.
  • This critical role focuses on building, configuring, and operationalizing secure, scalable, and reusable infrastructure and pipelines that support AI and ML initiatives across the enterprise.
  • UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Matching Summary

We are seeking a Senior MLOps / AIOps Platform Engineer with deep DevSecOps expertise and hands-on experience managing enterprise-grade AI/ML platforms.

Skills & Requirements

Must-have

  • Enterprise AI/ML platform management
  • Infrastructure as Code with Terraform
  • DevSecOps practices in CI/CD pipelines
  • IBM watsonx and Google Vertex AI
  • MLOps/AIOps pipeline automation
  • Containerization with Docker and Kubernetes
  • Platform security and compliance

Nice-to-have

  • Experience with GenAI application deployment
  • Open-source contributions in MLOps
  • Responsible AI governance and fairness
  • Cloud certifications like GCP or AWS
  • Monitoring with Prometheus and Grafana
  • Data engineering integration in ML pipelines

Key Requirements

  • 5+ years in MLOps or Platform Engineering
  • 2+ years applying DevSecOps practices
  • Bachelor’s or Master’s degree in related field
  • Experience with regulated industry compliance
  • Proficiency in Python and Bash scripting
  • Experience with HIPAA, SOX, FedRAMP compliance

Work Rights

Not specified

Tailored Resume

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