AI Engineer

• Build scalable, production-ready AI systems for real-world applications
• Grow your expertise in modern AI tools like Google Gemini 2.5 Pro and Vertex AI
• Collaborate closely with a fast-moving, innovative team to deliver high-impact solutions
• In this role, you’ll build and maintain AI and data pipelines on GCP, implementing scalable solutions for image analysis and metadata generation.
• Implement image ingestion, preprocessing, and metadata extraction pipelines
• Integrate Gemini 2.5 Pro APIs for tagging and structured outputs
• Write efficient, scalable Python code for ML and data workflows
• Build and maintain services on GCP (Cloud Functions, Cloud Run, Pub/Sub, Cloud Storage, BigQuery, Vertex AI)
• Automate cataloging for large image datasets
• Optimize pipeline cost, performance, and throughput
• Implement testing, logging, monitoring, and CI/CD practices
• Deliver iterative, production-ready outputs in weekly sprints

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