Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
5 years of experience in machine learning algorithms, statistical analysis, data mining, and model evaluation.
Experience with large language models, multimodal models, and other generative AI techniques, including their architecture, training methodologies, and fine-tuning.
Experience in Python, PyTorch, and Jupyter/Colab notebooks.
Experience with open-source ML tools (e.g., Hugging Face, Weights and Biases, and other relevant libraries).
Preferred qualifications:
Experience training and fine-tuning large models (e.g., image, language, etc.) using accelerators (i.e., GPUs, TPUs).
Experience working with cloud-based ML platforms (e.g. Google Cloud Vertex Platform).