Refined job description

ROLE
– Own process understanding and solution definition for AI/ML use cases across cement plants.
– Work with Data Science and Engineering teams to build and deploy solutions for optimisation, prediction, and forecasting.
– Analyse plant operating and quality data to identify inefficiencies and improvement opportunities.
– Engage with customers to understand process challenges and translate them into scalable AI solutions.
– Support solution consulting and pre‑sales through proposals, demos, and value assessments.
– Drive deployment, validation, and value realisation at customer plants.

REQUIREMENTS
– 3–8 years of experience in the cement industry across process engineering, production, or optimisation.
– Strong understanding of Raw Mill, Pyroprocessing/Kiln, Cooler, Coal Mill, and Cement Mill operations.
– Strong grasp of process relationships, operating variables, and cause‑and‑effect behaviour.
– Hands‑on experience with DCS/process data and ability to work with Data Science & Engineering teams.
– Strong problem‑solving skills with the ability to understand plant operations and identify meaningful signals from process data.
– A cement process engineer looking to transition from traditional process engineering into Industrial AI and digital transformation.