Analytics Engineer

• Develop AI, machine learning, and analytical solutions tailored to high-value business challenges.
• Build pipelines to gather, process, and validate large datasets across distributed environments.
• Implement and maintain scalable data and model pipelines using modern engineering practices.
• Optimize model and application performance, monitor accuracy, and build tools for observability.
• Extend company data by integrating third-party or external data sources when appropriate.
• Conduct ad-hoc analyses and communicate insights to key decision-makers.
• Participate in full-stack model deployment, from prototyping to productionized services.
• Support the development of reusable internal platforms and AI/ML tooling.

Associate AI & Analytics Engineer

Manager, AI & Analytics Engineering