Senior Machine Learning Engineer

Description

Job Summary: We are looking for Senior Machine Learning Engineers to develop and optimize ML pipelines in a dynamic, continuously learning environment. Key Highlights: 1. Working in a relaxed and dynamic environment 2. Continuous learning while developing large-scale projects 3. We value diversity and inclusion We are passionate about technology, creativity, and challenges. If you enjoy challenges, constant learning, and value personal connections, join us! \# We value diversity and believe it is fundamental to innovation and delivering value to our clients. All our positions are open to everyone, with or without disabilities, regardless of age, gender, sexual orientation, ethnicity, religion, or any other characteristic. If you identify with this role, come join our team! **WHAT ARE WE LOOKING FOR?** We seek **Senior Machine Learning Engineers** who want to work with us in a relaxed and dynamic environment, with continuous learning while developing large-scale projects, alongside major national and international clients. We have offices in Maringá, São Paulo, and Chicago (USA), but our operations are fully remote—we prefer to call it *anywhere office*. **WHAT WILL THIS PROFESSIONAL DO?** * Develop and optimize Machine Learning pipelines on Databricks. * Implement predictive and machine learning models using Python. * Manage experiment and model versioning with **MLflow**. * Containerize ML applications and pipelines using **Docker**. * Work with large volumes of data and scalable architectures. * Collaborate with data and business teams to deliver end-to-end ML solutions. * Learn and use Azure ecosystem tools such as Data Factory and Synapse, as required by the project. **WHAT IS REQUIRED FOR THIS POSITION?** * Solid experience with **Python** for Machine Learning. * Practical experience with **Databricks** (notebook development, data integration, and ML pipelines). * Experience with **MLflow** for model versioning and experiment tracking. * Experience with **Docker** for containerizing ML applications and pipelines. * Strong knowledge of Machine Learning, including data preprocessing, feature engineering, and modeling. * Experience with code versioning (Git) and CI/CD practices for ML. * Ability to work with large volumes of data and distributed architectures. **WHAT WOULD BE A PLUS?** * Prior experience with **Azure Data Factory** and **Synapse**. * Experience in MLOps and deploying models into production. * Experience with frameworks such as **PyTorch**, **TensorFlow**, or **scikit\-learn**. * Experience in cloud computing (Azure, AWS, or GCP). * Familiarity with SQL and query optimization on large databases. **PROCESS STEPS:** * Application * Cultural fit interview * Technical interview * Client interview * Hiring