The Manufacturing Engineer - Automation & Digitalization supports a major expansion project in Tampa, focusing on leveraging AI, machine learning, and automation to improve manufacturing efficiency, quality, and predictive maintenance.
They design and deploy AI models, implement automation workflows, and manage data infrastructure, working closely with IT and OT teams to integrate solutions into production systems.
Ideal candidates have 5+ years of experience in AI/ML and automation within industrial settings, strong programming skills (Python, SQL), and familiarity with emerging AI techniques like deep learning and computer vision.
Key responsibilities include developing predictive models, automating inspection processes, building data pipelines, and establishing MLOps practices.
They collaborate across teams to identify digitalization opportunities and support complex projects from conception to deployment, ensuring data quality and system reliability.
The role offers growth opportunities, a supportive culture, and benefits aligned with supporting innovation in sustainable energy and decarbonization efforts.