AI/ML Engineer

Role overview Build machine learning systems that address practical business needs, from early feasibility work through deployment and ongoing monitoring. The role spans several applied AI areas, including forecasting, document processing, predictive analytics, and language model integrations, with a focus on validating operational impact.

Responsibilities - Assess whether machine learning is suitable for a business problem and define a path to implementation. - Develop solutions for use cases such as demand forecasting, document extraction, and predictive analytics. - Integrate custom large language model capabilities where they fit the task. - Take models through deployment into production and monitor their performance. - Work with operations teams to check that deployed systems deliver useful business outcomes.

Requirements - The source describes end-to-end applied machine learning work, but does not specify required qualifications, years of experience, or particular technologies.