




Be part of Stefanini! At Stefanini, we are more than 30,000 geniuses, connected from 41 countries, doing what they are passionate about and co-creating a better future. **Responsibilities and attributions** * Collaborate with multidisciplinary teams to develop end-to-end machine learning solutions * Transform business needs into ML models that generate business impact * Design, develop, and deploy scalable ML model pipelines in production environments * Design, develop, and deploy APIs to serve ML models integrated with business processes * Implement CI/CD pipelines with automated testing, quality gates, and Infrastructure as Code * Implement comprehensive observability with data drift and model drift monitoring for tracking model performance **Requirements and qualifications** * Degree/Bachelor's in Software Engineering, Computer Science, Systems Engineering, Statistics, or related fields, with specializations in MLOps * +3 years of experience in developing and deploying ML models in production * Proficiency in AWS (Lambda, API Gateway, VPC, IAM) * Proficiency in GCP (Cloud Function, Dataflow, Cloud Run, Cloud Composer, Vertex, CloudLogging) * Proficiency in GCP for ML (Vertex Feature Store, Vertex Pipeline, Vertex Endpoint, Vertex Model Monitoring) * Experience with ML pipeline frameworks (Kedro, Kubeflow, Apache Airflow) and Big Data (PySpark, Apache Beam) * Experience with API frameworks (FastAPI, Django) and databases (BigQuery, BigTable, CloudSQL, Firestore) * Experience with CI/CD for ML, Git, containerization (Docker, Kubernetes), IaC (Terraform), Azure DevOps **Additional information** Are you looking for a place where your ideas can shine? With over 38 years of history and a global presence, at Stefanini we transform tomorrow together. Here, every action counts and every idea can make a difference. Join a team that values innovation, respect, and commitment. If you are a disruptive person, committed to continuous learning, and innovation is in your DNA, then this is what you're looking for. Come and let's build a better future together!


