Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home
>
Jobs in mumbai
>
UPS Supply Chain Solutions (UPS SCS)
>
Senior MLOps / AIOps Engineer - MLflow, GCP, Vertex AI

Senior MLOps / AIOps Engineer - MLflow, GCP, Vertex AI

UPS Supply Chain Solutions (UPS SCS)

5 - 10 years

13 - 18 Lacs

mumbai pune gurugram

Posted:2 months ago| Platform:

Apply

Skills Required

python containerization devops iac tools bash kubernetes vertex microsoft azure google aws cloudformation machine learning data engineering artificial intelligence infrastructure architecture ansible docker devsecops terraform ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

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. The ideal candidate will have a strong background in Infrastructure as Code (IaC), pipeline automation, and platform engineering, with specific experience configuring and maintaining IBM watsonx and Google Cloud Vertex AI environments.

Key Responsibilities

Platform Engineering & Operations

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.

Enterprise MLOps / AIOps Enablement

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.

DevSecOps Integration

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.).

Infrastructure as Code & Automation

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.

Monitoring, Logging & Observability

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 .

Qualifications

Education

Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.

Experience

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 .

Technical Skills

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 .

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

UPS Supply Chain Solutions (UPS SCS)

Logistics and Supply Chain

Atlanta

Login to

Please Verify Your Phone or Email

Confirm Action

Senior MLOps / AIOps Engineer - MLflow, GCP, Vertex AI