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 Senior MLE - MLOps Engineer to design and manage machine learning pipelines in Google Cloud Platform. The ideal candidate will automate ML workflows, ensure model reliability, and collaborate across technical teams to create advanced machine learning systems.

Qualifications

• Expertise in programming languages like Python and SQL.
• Solid understanding of MLOps practices.
• Experience with GCP tools like Vertex AI, BigQueryML, and Kubernetes.

Responsibilities

• Manage deployment and maintenance of ML models in production.
• Monitor model performance metrics like accuracy and recall.
• Troubleshoot and resolve ML system issues.

Skills

Python

SQL

MLOps best practices

Model monitoring

Performance optimization

Education

Bachelor’s Degree in a quantitative field

Tools

BigQuery

Vertex AI

Kubernetes

Terraform

Job description

Join to apply for the Senior MLE - MLOps, Python, GCP, VertexAI, GKE role at UPS

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 collaborate 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 queries and pipelines.
• Modernization of applications whenever required.

Qualifications:

• Expertise in programming languages like Python and SQL.
• Solid understanding of best MLOps practices and concepts for deploying enterprise-level ML systems.
• Understanding of machine learning concepts, models, and algorithms including regression, clustering, neural networks, deep learning, and transformers.
• Experience with GCP tools like BigQueryML, Vertex AI, Kubeflow Pipelines, Model Registry, Cloud Monitoring, Kubernetes, etc.
• Strong communication skills and ability to prepare detailed technical documentation.
• Ownership and collaborative qualities, with initiative to improve and streamline processes.
• Bachelor’s Degree in a quantitative field or equivalent experience.

Bonus Qualifications:

• Experience in Azure MLOps.
• Familiarity with Cloud Billing.
• Experience supporting NLP, Gen AI, LLM applications with MLOps features.
• Experience in an Agile environment and understanding of Lean Agile principles.

Type de Contrat: en CDI

Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clés.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

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