Are you passionate about bridging the gap between cutting-edge AI research and real-world applications? Our partner’s Computer Vision Division, part of a fast-growing direct-to-consumer tech platform transforming the global beauty, wellness, and health markets, is looking for a skilled and independent ML Ops Engineer to join the team.
In this role, you’ll take ownership of deploying, optimizing, and scaling deep learning models in production. You’ll collaborate with machine learning engineers and data managers, design and implement large-scale pipelines, and ensure performance, reliability, and scalability across cloud environments.
If you have solid experience in Python, AWS, Kubernetes, and CI/CD for ML models, and thrive in fast-paced, innovative settings – this is your opportunity to make an impact on large-scale, data-driven products used worldwide.
Join a company where data science, machine learning, and computer vision come together to create next-generation consumer experiences.



