Mid Machine Learning Engineer

Profile: - Professional with 3+ years of hands-on experience in the Machine Learning field; - Minimum B2 level proficiency in English (oral and written); - Strong Python programming skills (OOP, design patterns, clean code, pytest/unittest); - Solid experience in SQL for data querying, manipulation, and pipeline integration; - Hands-on expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and model-serving APIs (FastAPI, Flask); - Experience deploying models using Docker/Kubernetes and maintaining CI/CD pipelines (GitHub Actions, Jenkins); - Practical understanding of MLOps fundamentals (Git versioning, code reviews, model deployment, monitoring); - Familiarity with cloud platforms (AWS, GCP, or Azure) for ML workloads; - Pragmatic problem-solver comfortable building MLOps practices from scratch in an open, non-hierarchical environment. Responsibilities: - Package, deploy, and productionize machine learning models developed by the data science team; - Build, support, and maintain ML-focused CI/CD deployment pipelines; - Establish model monitoring and alerting mechanisms in production to track performance and failures; - Write clean, maintainable, and testable Python code aligned with team standards; - Collaborate cross-functionally with Data Scientists and Data Engineers on model integration and data transformations; - Optimize model performance, response times, and operational efficiency in production; - Support the team in establishing and automating MLOps practices from the ground up. We offer: - Health insurance; - Free online training through the Udemy platform; - On-site and remote training at Olisipo's Learning Center; - Free certifications (after passing the exam); - Discounts at Olisipo Partners (in the areas of health and well-being, fitness, travel, among others); - Free psychological consultations; - Possibility of a salary advance, without commissions.