Data Software Engineer / MLOps / MLE

We welcome a Data Software Engineer / MLOps / MLE to become part of our team and contribute to enabling multi-country operations for the LATAM region. A candidate with a strong foundation in Python, Spark, and PySpark, along with hands-on experience in AWS and Databricks, will thrive in this role. Responsibilities Design data pipelines that scale efficiently using Python, Spark, and PySpark Construct AWS infrastructure and manage deployments through Databricks Establish CI/CD workflows for machine learning models with Jenkins and similar platforms Apply Amazon SageMaker to construct, train, and release machine learning models Track model performance and drive improvements in efficiency Uphold standards for data quality and integrity at every stage Engage with teams across functions to generate innovative use cases Develop unit tests covering all phases of machine learning processes Modify data science pipelines to align with project demands Exchange information clearly to resolve questions and address technical matters Requirements Knowledge of Python, Spark, and PySpark Background in AWS and Databricks Expertise in MLOps methodologies and tools including Jenkins Skills in using Amazon SageMaker for machine learning lifecycle management Experience with CI/CD platforms and Terraform for infrastructure automation Flexibility to approach new use cases with ease Understanding of principles behind production-ready data science pipelines Background in preparing data and building models Competency in designing unit tests for each step of machine learning workflows Ability to communicate ideas and technical details effectively Nice to have Familiarity with Apache Airflow Knowledge of practices that ensure high data quality Certification in Databricks Certification in Jenkins