CI&T, a global tech transformation company with over 6,500 employees, is seeking a Senior MLOps Engineer to join their team in São Paulo, Brazil, with remote work options. This role is crucial in bridging data science, engineering, and operations by implementing and maintaining scalable machine learning pipelines.
The position requires expertise in MLOps tools and practices, including Kedro for pipeline development, MLflow for experiment tracking, and Kubernetes for deployment. You'll work with cutting-edge technologies like ArgoCD, Grafana, and AWS services to build robust ML infrastructure.
The ideal candidate should have a strong background in ML systems deployment, with experience in both the technical aspects of MLOps and the ability to collaborate effectively across teams. You'll be responsible for the full ML lifecycle, from pipeline development to production deployment and monitoring.
CI&T offers a comprehensive benefits package including health insurance, professional development opportunities through CI&T University, and various wellness programs. The company strongly values diversity and inclusion, actively encouraging applications from underrepresented groups.
This role presents an excellent opportunity for experienced ML engineers looking to work with advanced technologies in a company that has built partnerships with over 1,000 clients during its 30-year history. You'll be part of a team that's pushing the boundaries of AI implementation while maintaining high standards of reliability and scalability.