We're seeking a dedicated MLOps/Dataset Engineer to join our team. This role involves iterative dataset improvements, auto-annotation, large-scale data scanning, and constructing robust infrastructure around our machine learning models, with a particular focus on computer vision and related tasks.

• Design and develop large-scale infrastructure to support auto-annotation engines for optimizing computer vision datasets
• Collaborate closely with internal and external data annotation teams and services to enhance dataset production
• Create, deploy, and automate ML pipelines, ensuring an efficient transition from model training to deployment
• Monitor model performance and manage models and datasets versioning to bolster operational efficiency
• Participate in end-to-end development, from problem statement and data aggregation to model design, experiments, deployment, and iterative improvement automation