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- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
- Experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
- Experience delivering technical presentations and leading business value sessions.
- Ability to communicate in English and French fluently.
- Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience.
- Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
- Experience training and fine tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
- Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
- Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches.
Generative AI Field Solutions Architect - Dubai, United Arab Emirates - Google
Description
Minimum qualifications:
Preferred qualifications: