Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
7 years of experience in a statistical programming language (e.g., Python).
Experience in Artificial Intelligence applications (e.g., deep learning, natural language processing, computer vision, or pattern recognition), applied machine learning techniques, or using OSS frameworks (e.g., TensorFlow, PyTorch).
Experience delivering technical presentations and leading business value sessions.
Ability to communicate in English and Spanish fluently to engage with local stakeholders.
Preferred qualifications:
Master's degree in Computer Science, Engineering, or a related technical field.
Experience training and fine tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
Experience with distributed training and optimizing performance versus costs.
Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using Terraform).
Experience in systems design.
Ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches.