UPS · 3 months ago
Senior MLOps / AIOps Engineer - MLflow, GCP, Vertex AI, IBM Watsonx, Terraform
IN - TDC 1 (IN110)
Full-time
Onsite
Senior Level
5+ years expUPS is a Fortune Global 500 organization seeking a Senior MLOps / AIOps Platform Engineer with deep DevSecOps expertise. The role focuses on building, configuring, and operationalizing secure, scalable, and reusable infrastructure and pipelines that support AI and ML initiatives across the enterprise.
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Responsibilities
Lead the provisioning, configuration, and ongoing support of IBM watsonx and Google Cloud Vertex AI platforms
Ensure platforms are production-ready, secure, cost-efficient, and performant across training, inference, and orchestration workflows
Manage lifecycle tasks such as patching, upgrades, integrations, and service reliability
Partner with security, compliance, and product teams to align platforms with enterprise and regulatory standards
Define and implement standardized MLOps/AIOps practices across business units for consistency and scalability
Build and maintain reusable workflows for model development, deployment, retraining, and monitoring
Provide onboarding, enablement, and support to AI/ML teams adopting enterprise platforms and tools
Support development/deployment of GenAI applications and maintain them at an Enterprise scale
Embed security and compliance guardrails across the ML lifecycle, including CI/CD pipelines and IaC templates
Implement policy-as-code, access controls, vulnerability scanning, and automated compliance checks
Ensure all deployments meet enterprise and regulatory requirements (HIPAA, SOX, FedRAMP, etc.)
Design and maintain IaC templates (Terraform, Pulumi, Ansible, CloudFormation) for reproducible ML infrastructure
Build and optimize CI/CD pipelines for AI/ML assets including data pipelines, training workflows, deployment artifacts, and monitoring systems
Enforce best practices around automation, reusability, and observability of infrastructure and workflows
Implement comprehensive observability for AI/ML workloads using Prometheus, Grafana, Stackdriver, or Datadog
Monitor both infrastructure health (CPU, memory, cost) and ML-specific metrics (model drift, data integrity, anomaly detection)
Define KPIs and usage metrics to measure platform performance, adoption, and operational health
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
5+ years in MLOps, DevOps, Platform Engineering, or Infrastructure Engineering
2+ years applying DevSecOps practices (secure CI/CD, vulnerability management, policy enforcement)
Hands-on experience configuring and managing enterprise AI/ML platforms (IBM watsonx, Google Vertex AI)
Demonstrated success in building and scaling ML infrastructure, automation pipelines, and platform support models
Proficiency with IaC tools (Terraform, Pulumi, Ansible, CloudFormation)
Strong scripting skills in Python and Bash
Deep understanding of containerization and orchestration (Docker, Kubernetes)
Experience with model lifecycle tools (MLflow, TFX, Vertex Pipelines, or equivalents)
Familiarity with secrets management, policy-as-code, access control, and monitoring tools
Working knowledge of data engineering concepts and their integration into ML pipelines
Preferred
Cloud certifications (e.g., GCP Professional ML Engineer, AWS DevOps Engineer, IBM Cloud AI Engineer)
Experience supporting platforms in regulated industries (HIPAA, FedRAMP, SOX, PCI-DSS)
Contributions to open-source projects in MLOps, automation, or DevSecOps
Familiarity with responsible AI practices including governance, fairness, interpretability, and explainability
Hands-on experience with enterprise feature stores, model monitoring frameworks, and fairness toolkits
Company
UPS
Operating in more than 200 countries and territories, we’re committed to moving our world forward by delivering what matters.
10001+ employees
H1B Sponsorship
UPS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2021 (5)
2020 (9)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
Innovate UK
2025-07-28Grant
1999-11-10IPO
Leadership Team
Brian Dykes
EVP & Chief Financial Officer at UPS
Joel Stenson
Senior Vice President Global Operations Technology / Enterprise Data & Analytics and Gen AI
Recent News
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