Be part of Stefanini! At Stefanini we are more than 30,000 geniuses, connected from 41 countries, doing what we are passionate about and co-creating a better future. **Responsibilities and attributions** Professional with more than 4 years of experience in fields such as Systems Engineering, Industrial Engineering, Computer Science, Data Science, Statistics, Computer Science, Mining Engineering, Geology, and/or related disciplines, specialized in the design, training, deployment, and monitoring of machine learning models in production environments. **Requirements and qualifications** * Must master MLOps and automation tools such as AWS SageMaker, ECS/EKS, Lambda, CDK, Terraform, CodePipeline, and CloudWatch, as well as have experience with Docker containers, Kubernetes, Git, and Python. Experience with LangChain and OpenAI API solutions, model management via MLflow and Model Registry, and working with decoupled architectures, serverless, and agile methodologies such as Scrum will be valued. Code: Python, Docker, Terraform, Docker Containers, Kubernetes, GIT Database: SQL AWS (Antamina): Compute/DevOps (Sagemaker Inference, ECS/EKS, Lambda, CDK, Code Pipeline, Step Functions, IAM, CloudWatch) Data level: S3, Glue, Athena, Sagemaker Feature Store) MLOPS Monitoring: Sagemaker Pipelines, Sagemaker Model Monitor, CloudWatch Logs, X-Ray, Kinesis. Other cross-functional Skills. **Additional information** Are you looking for a place where your ideas can shine? With over 38 years of experience 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 we are what you are looking for. Come and let's build a better future together!