Senior MLOps Engineer

We are seeking a

Senior MLOps Engineer

to lead the development and operationalization of robust machine learning systems.

Working at the intersection of data science and DevOps, this role focuses on scaling ML pipelines, deploying models efficiently, and optimizing cloud infrastructure with a focus on Google Vertex AI.

Responsibilities

• Drive implementation of the end-to-end machine learning lifecycle
• Convert business objectives into actionable ML problems and solutions
• Develop scalable data ingestion and preparation systems for ML
• Design and implement automated pipelines using Google Vertex AI
• Orchestrate workflows using tools like Kubeflow or Airflow
• Enable efficient model deployment and serving on Google Vertex AI
• Ensure high availability and reliability of deployed ML models in production
• Optimize model performance through proactive monitoring and maintenance
• Implement scalable systems for model retraining and versioning
• Collaborate closely with data science teams to refine infrastructure
• Build architecture that leverages infrastructure as code principles
• Support compliance and security requirements for ML systems

Requirements

Nice to have

We offer