Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
6 years of experience in a statistical programming language or web based technology (e.g., Python, SQL, JavaScript, or CSS/HTML).
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 with data warehouses such as BigQuery.
Experience delivering technical presentations and managing business value sessions.
Preferred qualifications:
Master's degree in Computer Science, Engineering, or a related technical field.
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, ML pipelines, and ML training and serving approaches.
Experience in broad base Cloud technology from infrastructure, AI, data, API, security and collaboration technologies.
Experience with distributed training and optimizing performance against costs.
Excellent communication and presentation skills for performing product demos and technology overviews.