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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-productive 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

📌 Senior MLE (Tiruchirappalli)
🏢 UPS
📍 Tiruchirappalli