GCP AIML professional

Roles and Responsibilities

• Design, build, and support data ingestion and ETL pipelines on Google Cloud Platform
• Develop and manage data processing solutions using Dataflow, Dataproc, and Pub/Sub
• Work with datasets, BigQuery, and Python to enable data analytics and machine learning workflows
• Develop, deploy, and manage machine learning models using Vertex AI
• Implement CI/CD pipelines for machine learning workflows and model deployments
• Use containerization technologies to package and deploy ML solutions
• Troubleshoot and resolve complex issues across data and AI/ML pipelines
• Apply TensorFlow for model development, training, and optimization
• Work with large language models, transformers, and prompt engineering techniques
• Collaborate with stakeholders and provide effective customer support and technical guidance
• Implement monitoring and logging for ML and data pipelines
• Ma...