GCP AI Engineer

Job description

**Key Skills:** GCP, Vertex AI (Google), Gemini, Python, Agentic AI, LLM, AI/ML, Gen AI **Roles and Responsibilities:** - Develop and deploy AI applications on GCP using Vertex AI and Gemini AI models. - Build AI services and pipelines in Python, including model integration and inference workflows. - Design solution architectures for AI workloads on GCP, ensuring reliability and maintainability. - Implement evaluation and iteration loops for AI outputs to improve quality and consistency. - Support deployment and operationalization of AI services, including monitoring and troubleshooting. **Skills Required:** - 7-10 years of relevant experience in AI/ML engineering and cloud-based deployments. - GCP (Google Cloud Platform) for building and operating AI workloads. - Vertex AI for training, deploying, and managing AI models. - Gemini AI for integrating and using Gemini models in production workflows. - Python for building AI services, integrations, and inference logic. **Education:** M3 degree (as specified).