Job Summary: The Tecgraf Institute is seeking a Machine Learning Engineer to work on software engineering, data science, and artificial intelligence projects, designing and operating ML and AI solutions in production. Key Highlights: 1. Working on software engineering, data science, and AI projects. 2. Developing and evolving a high-impact institutional technology platform. 3. Designing and operating Machine Learning and AI solutions in production. The Tecgraf Institute has an open position for a Machine Learning Engineer. We are expanding our team to develop and evolve a high-impact institutional technology platform. We adopt agile practices and iterative cycles. We seek professionals with a solid technical foundation, a collaborative mindset, and interest in working on projects integrating software engineering, data science, and artificial intelligence. Employment Type: CLT. Work Mode: Remote or Hybrid (to be agreed). Objectives: Design and operate Machine Learning and Artificial Intelligence solutions in production, ensuring performance, reliability, and continuous monitoring throughout the model lifecycle. Responsibilities: * Implement training and re\-training pipelines. * Version data and models. * Build APIs and inference services. * Monitor model performance and data quality (e.g., drift detection). * Work with containerization and deployment environments. * Collaborate with Data Scientists on transitioning models into production. Requirements: * Experience deploying ML models into production. * Experience with Python and Machine Learning frameworks. * Experience with Docker. * Knowledge of version control and CI/CD best practices. * Practical knowledge of Machine Learning fundamentals. Preferences: * Experience with LLMs and RAG architectures. * Experience with Kubernetes. * Experience with model monitoring. * Experience in cloud environments (AWS, GCP, or Azure). If you identify with our objectives, join our team! Fill out the form here.