Senior Analyst, Analytics (MLOps Engineer - GCP) - Remote

Overview

The MLOps Engineer (GCP Specialization) is responsible for designing, implementing, and maintaining infrastructure and processes on Google Cloud Platform (GCP) to enable the seamless development, deployment, and monitoring of machine learning models at scale.

In Short

• Design and implement pipelines for deploying machine learning models using GCP services.
• Build and maintain scalable GCP-based infrastructure.
• Develop automated workflows for data ingestion and model deployment.
• Implement monitoring solutions to track model performance and system health.
• Collaborate with data scientists and DevOps teams.
• Manage versioning of datasets and models using GCP tools.
• Optimize model performance and resource utilization on GCP.
• Ensure compliance with data privacy regulations.
• Integrate GCP-native tools and open-source MLOps frameworks.
• Foster a community-first workplace culture.

Requirements

• Proficiency in Python and GCP services.
• Experience with infrastructure-as-code using Terraform.
• Familiarity with containerization and CI/CD pipelines.
• Knowledge of ML frameworks and MLOps tools.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Experience with large-scale distributed ML systems.
• Familiarity with microservices architecture.
• Google Cloud Professional certifications preferred.

Benefits

• Comprehensive benefits including medical, dental, and vision.
• 401(k) match and paid time off.
• Support for family including EAP counseling sessions.
• Professional development programs available.
• Access to virtual leadership and development courses.