Principal AI Engineer

Owning the model training strategy for Commercial AI products, the full-time remote Principal AI Engineer will manage the training, fine-tuning, and evaluation of AI models while overseeing data governance and pipeline optimization. Key responsibilities Define and implement the end-to-end model training strategy across various AI products, including traditional AI/ML models and large language models Design and optimize data pipelines for ingestion, cleaning, labeling, and feature engineering to ensure high-quality training data Mentor engineers and enhance model-training and data-quality practices across teams Required qualifications Bachelor's degree in Computer Science, Engineering, or related discipline; advanced degree in ML, AI, or Data Science preferred 12 or more years of experience in AI/ML engineering, applied ML, or data engineering with significant hands-on model training and fine-tuning Strong hands-on experience with parameter-efficient fine-tuning techniques and ML/DL frameworks such as PyTorch and Hugging Face Experience building and operating large-scale data pipelines and platforms Proficiency in data management, including dataset storage architecture, versioning, and governance