Description

Key Responsibilities

• Design, develop, and maintain scalable ML pipelines and workflows.
• Deploy and monitor machine learning models in production
• Collaborate with cross-functional teams to operationalize ML solutions
• Ensure reliability, scalability, and performance of ML systems
• Implement best practices for model versioning, monitoring, and governance
• Optimize infrastructure and workflows for cost and efficiency

Required Skills & Qualifications

• Strong proficiency in Python to implement Data Engineering pipeline
• Hands-on experience with Google Cloud Platform (GCP)
• Experience working with Vertex AI and Cloud build.
• Strong knowledge of BigQuery sql.
• Experience with Docker and containerization
• Solid understanding of machine learning concepts and lifecycle (Training to Serving)
• Maintaining and deploying model end points utilizing most optimal framework

Preferred Skills

• Experience with FastAPI or similar frameworks
• Knowledge of model deployment strategies (batch and real-time)
• Familiarity with Kubernetes and Release management

Key Skills

Education

Bachelor's degree