Develop solutions, components, services and frameworks to address both specific and common needs in AI/ML projects, like feature reuse, model traceability, monitoring, A/B test, versioning, release, and serving of both online inference end-points and batch inference. […]
Hands-on experience with cloud technologies for machine learning development in AWS, alongside solid expertise in MLOps practices, encompassing the development of ML pipelines, data pipelines, and the deployment of ML applications to production. […]
Demonstrated ability to align and analyse requirements, drive design solutions...