As a Machine Learning Engineer, you’ll build the intelligence behind the next generation of agentic AI systems that reason over massive, heterogeneous log data. You’ll combine machine learning, prompt engineering, and rigorous evaluation to create autonomous AI agents that help organizations understand and act on their data in real time. This is an opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability.
Support Curinos' Databricks-native machine learning and AI platform by operationalizing production-grade models, managing deployments, and ensuring robust monitoring and governance. Requires strong communication across functions, including data scientists, data engineers, and product managers. Play an active part and take ownership of end-to-end design, implementation, and testing of complex ML and AI workflows in a collaborative team environment.
In this role, you'll work closely with our Head of AI and a team of skilled engineers to design and build next-generation intelligent systems that serve millions of users across the region. You’ll contribute directly to AI systems that have real-world impact on millions of users. You’ll gain hands-on experience building and deploying machine learning models in production, as we use AI to democratize access to financial services.