Develop scalable, high-performance Machine Learning pipelines;
Implement and manage the ML model lifecycle (training, deployment, monitoring, and continuous improvement);
Build analytical data models oriented to product, business, and performance;
Design data architectures and orchestrations using Azure Data Factory and GCP;
Work on the data backend, collaborating with business and technology teams;
Ensure the quality, governance, and availability of data and models;
Implement automated tests and monitor solution performance, latency, and cost.

Senior Machine Learning Engineer

Key skills