Job Summary: Responsible for implementing, evolving, and maintaining cloud-based machine learning infrastructure, ensuring models are up-to-date, scalable, and high-performing. Key Highlights: 1. Develop and optimize scalable machine learning pipelines 2. Collaborate with data and development teams to integrate models 3. Investigate and implement new technologies to enhance infrastructure **About the Role** ================ You will be responsible for implementing, evolving, and maintaining our cloud-based machine learning infrastructure. Your role will be essential in ensuring that our artificial intelligence models remain up-to-date, scalable, and high-performing. You will work closely with data, engineering, and infrastructure teams to develop solutions that continuously improve the efficiency of our systems. **Responsibilities** ===================== * Develop and optimize scalable machine learning pipelines for performance and cost-efficiency, ensuring optimal utilization of available resources. * Implement monitoring and automation solutions for model training. * Collaborate with data and development teams to integrate machine learning models into our product, ensuring the quality and usability of delivered solutions. * Investigate and implement new technologies and best practices to continuously enhance our machine learning infrastructure. * Conduct performance analyses of production models and identify opportunities for improvement. **Requirements** ============== * Experience with implementation and maintenance of cloud-based machine learning infrastructure (AWS, Google Cloud, Azure, etc.). * Advanced knowledge of Python. * Intermediate knowledge of Terraform. * Familiarity with container technologies such as Docker and Kubernetes. * Experience with model versioning and experiment management. * Proficiency in technical documentation. **Preferred** * In-depth knowledge of data pipelines, machine learning frameworks, and workflow orchestration. * Experience with automation, monitoring, and CI/CD for machine learning. **What We Offer** ==================== * Health Insurance * Wellhub * Hybrid or remote work \- Office in São Paulo \- SP.