We are seeking a highly skilled Senior GCP MLOps Engineer to support the
deployment, automation, and operationalization of machine learning solutions on
Google Cloud Platform (GCP).
The primary focus of this role is to automate the deployment and lifecycle
management of Python-based machine learning models developed by business and
data science teams. The ideal candidate will possess solid expertise in GCP
cloud engineering, MLOps frameworks, CI/CD automation, infrastructure
management, and production-grade ML deployment architectures.
This is an engineering-focused role responsible for ensuring machine learning
models are deployed, monitored, scalable, secure, and reliable in production
environments.
Key Responsibilities
1. MLOps Platform Engineering
* Design, build, and maintain scalable MLOps frameworks on Google Cloud
Platform.
* Automate deployment, testing, monitoring, and lifecycle management of machine
learning models.
* Establish repeatable and standardized ML deployment processes across
environments.
* Implement model versioning, artifact management, and deployment governance
standards.
* Support model retraining, rollback, and release management processes.
2. Machine Learning Deployment & Automation
* Deploy Python-based machine learning models into production environments.
* Build automated deployment pipelines for batch and real-time inference
workloads.
* Develop reusable deployment templates and automation frameworks.
* Support model serving using Vertex AI Endpoints and containerized deployment
architectures.
* Ensure high availability, reliability, and scalability of production ML
services.
3. CI/CD & Infrastructure Automation
* Design and implement CI/CD pipelines for machine learning applications and
services.
* Integrate source control, testing, and deployment workflows into enterprise
delivery pipelines.
* Implement Infrastructure-as-
📌 Lead ML Devops Engineer (Pune)
🏢 dentsu
📍 Pune
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