Opportunity Description
Drive innovation at Tiger Analytics as a Senior Machine Learning Engineer with expertise in Google Cloud Platform. Focus on building and deploying robust ML solutions using Vertex AI.
This role demands a mastery of Python and hands-on experience with GCP services to create efficient ML pipelines. You will collaborate with data scientists and MLOps teams, ensuring reliable workflows while managing the complete ML lifecycle from data ingestion to model serving. Your contributions will play a significant part in operational excellence.
Key Responsibilities:
• Build and optimize ML models with Vertex AI capabilities
• Design scalable data processing and feature engineering pipelines
• Deploy production-ready models using Vertex AI endpoints
• Work with teams to ensure reproducible ML workflows
• Set monitoring and drift detection for model performance
Requirements:
• 5+ years of experience in machine learning and GCP
• Strong Python programming and ML library ...
This role demands a mastery of Python and hands-on experience with GCP services to create efficient ML pipelines. You will collaborate with data scientists and MLOps teams, ensuring reliable workflows while managing the complete ML lifecycle from data ingestion to model serving. Your contributions will play a significant part in operational excellence.
Key Responsibilities:
• Build and optimize ML models with Vertex AI capabilities
• Design scalable data processing and feature engineering pipelines
• Deploy production-ready models using Vertex AI endpoints
• Work with teams to ensure reproducible ML workflows
• Set monitoring and drift detection for model performance
Requirements:
• 5+ years of experience in machine learning and GCP
• Strong Python programming and ML library ...
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