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Sr. AI engineer (Remote - Latin America) at Jobgether. This position is posted by Jobgether on behalf of Sezzle. We are currently looking for a . Sr. AI Engineer. in . Latin America. .. Join a fast-growing fintech innovator as a senior contributor to its AI engineering team, leading the development and deployment of advanced machine learning solutions that power personalized shopping experiences, fraud prevention, and credit risk analysis. This role offers the chance to work on high-impact, production-grade systems using cutting-edge technologies across cloud infrastructure and MLOps pipelines. You’ll thrive in a high-energy, collaborative environment that values innovation, speed, and ownership — helping shape the future of digital commerce while continuously pushing boundaries.. . Accountabilities:. . Design and develop scalable ML infrastructure on AWS, including tools like SageMaker for efficient model training and deployment.. . Partner with product teams to prototype and iterate on AI-driven features with business impact.. . Implement robust monitoring and alerting systems to ensure the reliability and performance of ML models.. . Support cross-functional AI initiatives, including the use of Generative AI across different departments.. . Troubleshoot production-level ML issues and participate in on-call rotations for operational support.. . Scale machine learning architectures to support rapid growth while maintaining cost-efficiency.. . Mentor team members, perform code reviews, and elevate the overall skill level of the AI engineering group.. . Stay current on emerging machine learning technologies and AWS advancements, recommending innovative solutions to maintain a competitive edge.. . . Bachelor's degree in Computer Science, Machine Learning, or related field (or equivalent practical experience).. . 6+ years of experience deploying machine learning models in production environments.. . Expertise in ML areas such as recommendation systems, pattern recognition, or data mining.. . Proven success in end-to-end ML model development, from ideation to business results.. . Proficiency in Python; Golang experience is a plus.. . Strong skills in SQL, working with relational databases and data warehouses.. . Deep familiarity with AWS (especially SageMaker) and cloud-based ML architectures.. . Experience with Docker, Kubernetes, and CI/CD pipelines for ML deployment.. . Skilled in monitoring ML systems with tools like Grafana, Prometheus, or AWS CloudWatch.. . Knowledge of real-time data processing tools like Apache Spark or Kafka.. . High standards, quick decision-making, and a drive to innovate beyond conventional approaches.. . Company Location: Colombia.