AI GenAI Engineer

Technical Skills

• 4+ years of hands-on experience building and deploying machine learning or AI systems in production: classification, NLP, anomaly detection, or recommendation systems preferred.
• Proficiency with Google Vertex AI: Vertex AI Workbench, Model Registry, Vertex AI Pipelines, Prediction endpoints, and Feature Store.
• Experience with Gemini API and Vertex AI Generative AI Studio: prompt engineering, structured output, grounding, and function calling.
• Strong Python skills: PyTorch, TensorFlow, or scikit-learn for model development; FastAPI or Flask for serving wrappers.
• Familiarity with GCP data services: BigQuery, Cloud Storage, Pub/Sub used as upstream data sources and downstream output sinks.

Understanding of MLOps principles: experiment tracking, model versioning, CI/CD for ML, and production monitoring.