Machine Learning Engineer GCP Expertise

Position: Machine Learning Engineer with GCP Expertise
Join Tiger Analytics as a Machine Learning Engineer specializing in Google Cloud Platform. Drive ML lifecycle management with hands-on experience in Vertex AI and scalable model deployment.

In this senior role, you will design and operationalize machine learning solutions while collaborating closely with data scientists and engineers. Your expertise in GCP services and Python programming will be essential for developing optimized ML models, monitoring performance, and ensuring model governance. You'll take charge of nurturing scalable ML workflows and best practices across teams.

Key Responsibilities:

• Develop and train ML models using Vertex AI

• Create scalable ML pipelines for data processing

• Deploy models via Vertex AI and integrate with APIs

• Collaborate with cross-functional teams for reliable workflows

• Implement monitoring with alerting and retraining triggers

Requirements:

• Proven experience with GCP services, including Vertex AI

• Expertise in Python and ML/DL libraries

• Understanding of CI/CD and Git Ops

• Strong knowledge in API development and integration

• Ability to design scalable AI systems

Elevate your career in machine learning with Tiger Analytics and leverage GCP technologies.
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