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

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.

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
• 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.

Benefits

• Permanent position
• Free of discrimination, harassment, and retaliation workplace