Senior Data Engineer

Design, build, and maintain scalable data infrastructure supporting machine learning initiatives. Develop reliable data pipelines and workflows that support model development, training, deployment, and inference. Implement and maintain MLOps practices across the machine learning lifecycle.

Strong professional experience in Data Engineering. Hands-on experience with cloud-based MLOps. Experience building and maintaining production-grade data pipelines. Strong understanding of the machine learning lifecycle and the infrastructure required to support it.

Flexible working options to help you strike the right balance. Company-provided equipment. Other benefits may vary according to your location in LATAM.