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Job Description
- Advise customers as a trusted technical partner to solve technical challenges, anticipating issues before they arise and offering a breadth of scalable solutions and trade-offs.
- Write clean, well-structured, production-ready code to integrate classical ML models and Generative AI into enterprise environments.
- Guide customers on the practical challenges of production AI systems, spanning traditional ML (feature extraction, data validation, model tuning, and evaluation) and GenAI (prompt engineering, model evaluation, fine-tuning, and LLMOps).
- Collaborate with Customers, Partners, and Google Product teams to design real-world, practical systems, shifting customized AI prototypes into highly reliable, scalable production architectures on Google Cloud.
- Travel up to 30% in-region for meetings, technical reviews, and onsite delivery activities.