We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP).

Requirements

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

We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP).

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

Senior Machine Learning Engineer – MLOps, VertexAI, LLMs, GenAI, ML Model Management