The point where experts and best companies meet
Google Customer Engineer Data Analytics AI Google Cloud Singapore 868687944
09.07.2025
Share
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with practical application and architectural considerations of AI/ML, including Machine Learning (ML) lifecycle, ML frameworks (e.g., TensorFlow, PyTorch) and MLOps principles.
- Experience in developing data warehouses, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization and data governance on cloud native architectures.
- Experience in conducting technical discovery, business and technical requirements and translating them into efficient and innovative technical architectures that leverage data and AI services.
Preferred qualifications:
- Experience implementing MLOps best practices, CI/CD pipelines for ML models and infrastructure as code for deploying data and AI solutions.
- Experience in integrating data and AI solutions with existing enterprise systems, on-premises infrastructure and third-party applications.
- Experience in optimizing performance, cost-efficiency and scalability of large-scale data processing pipelines and ML inference systems.
- Experience with hybrid cloud architectures and multi-cloud strategies, particularly in data integration and migration.
- Experience with architectural design and implementation of solutions involving LLMs, Generative AI models or AI agents (e.g., Vertex AI Agent Engine, ADK, LangChain, LlamaIndex).
These jobs might be a good fit
