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).