Description
The Senior Machine Learning Engineer will design, develop, deploy, and continuously improve machine learning and computer vision models for production-grade systems. The role involves research and benchmarking of architectures such as CNNs, transformers, and vision-language models; fine-tuning with LoRA and QLoRA; evaluation and data analysis; MLOps workflows including CI/CD and monitoring; and mentoring junior CVML engineers. Candidates should have a bachelor’s degree or equivalent experience, strong production ML experience, expertise in supervised, unsupervised, and semi-supervised learning, and proficiency in Python and PyTorch.
