We are looking for a Senior Machine Learning Engineering Analyst who wants to grow and learn, share knowledge, collaborate and innovate while delivering value to all our clients.
In this role you will:
Join our team in a Machine Learning engineering capacity. As a core member of the institution, you will have the opportunity to apply your skills to drive meaningful innovation with data and GenAI.
Collaborate with cross-functional teams to understand specific project requirements
Translate requirements into effective technical solutions
Stay up to date with advances in ML and AI
Integrate best practices and innovations into our projects
Ensure that machine learning solutions comply with current internal policies
Optimize models and architectures for performance, accuracy, scalability and resource efficiency
Participate in defining and implementing security standards to ensure model integrity
Collaborate with multidisciplinary teams to identify opportunities for algorithm application
Define target architectures, implement and operationalize complex models
Develop and deploy scalable AI systems capable of handling high transaction volumes

Bachelor’s degree in Computer Science, Engineering or a related field
Advanced English (technical reading and communication)
Strong experience with Python
Advanced knowledge of MLOps (CI/CD, monitoring, automation)
Experience with AWS and its ML/AI services (S3, Lambda, SageMaker, etc.)
Proficiency in design patterns applied to software engineering and ML
Experience in AI Engineering, including architectures, pipelines and model workflows in production
Experience operationalizing AI systems in high-complexity, large-scale environments

Machine Learning Engineering Analyst – Senior

Key skills