Senior MLE - MLOps, Python, GCP, VertexAI, GKE

UPS; Chennai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

UPS is seeking a skilled MLOps Engineer to design, deploy, and manage ML pipelines in Google Cloud Platform. You will automate ML workflows, optimize deployments, and ensure reliability with CI/CD for ML systems using Vertex AI, GKE, BigQuery, and Terraform.

You will collaborate with multiple teams to build scalable ML infrastructure, monitor models, and continuously improve production readiness through robust versioning, governance, and documentation.

Qualifications

• Proficiency in Python and SQL for ML workflows.
• Solid understanding of MLOps best practices and enterprise deployment.
• Knowledge of ML concepts, models, and algorithms including deep learning and transformers.
• Understanding of model evaluation metrics and monitoring practices.
• Experience with GCP tools like BigQueryML, Vertex AI, Kubeflow Pipelines, and Kubernetes.
• Strong communication skills and ability to document designs clearly.
• Ownership mindset with initiative to improve and streamline processes.

Responsibilities

• Deploy and maintain ML models in production environments with seamless system integration.
• Monitor model performance using metrics (accuracy, precision, recall, F1) and address drift or bias.
• Troubleshoot issues, maintain documentation, and manage model versions for audit/rollback.
• Analyze monitoring data and prepare performance reports for stakeholders.
• Optimize data queries and ML pipelines for efficiency.
• Modernize applications as needed to keep systems production-ready.

Skills

Python

SQL

ML concepts

Model monitoring

CI/CD for ML

Kubernetes

Communication

Ownership

Education

Bachelor’s Degree in a quantitative field

Tools

BigQueryML

MLOPS

Vertex AI Pipelines

Kubeflow Pipelines on GCP

Model Versioning & Registry

Cloud Monitoring

Kubernetes

Job description

Before you apply to a job, select your language preference from the options available at the top right of this page.

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

Job Summary:

We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production-ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business.

Responsibilities:

• Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems.

• Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias.

• Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback.

• Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders.

• Optimization of the queries and pipelines.

• Modernization of the applications whenever required

Qualifications:

• Expertise in programming languages like Python, SQL

• Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems.

• Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.)

• Understanding of model evaluation metrics, model monitoring tools and practices.

• Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc.

• Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications.

• Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining.

• Bachelor’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

Bonus Qualifications:

• Experience in Azure MLOPS,

• Familiarity with Cloud Billing.

• Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features.

• Experience working in an Agile environment, understanding of Lean Agile principles.

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.