Lead global channel development and ecosystem growth by architecting partnerships to enhance industrial AI adoption across various regions.

Manage website functionality and user experience, develop creative assets for marketing, and optimize content strategies to enhance brand engagement.

The role involves optimizing refining and petrochemical processes using machine learning, collaborating with clients and internal teams to enhance efficiency, profitability, and sustainability.

Design and optimize scalable cloud infrastructure for industrial AI processes, enhance CI/CD workflows, and integrate observability tools while supporting thousands of plants.

As a Cement Solutions Manager, you will ensure customer success by delivering AI-driven optimization solutions, managing pre-sales, project execution, and account maintenance while collaborating closely with engineering teams and clients in the cement industry.

The Product Manager will drive AI-driven product development, collaborating with stakeholders to define roadmaps and enhance user experience in industrial optimization.

As a Refining and Petrochemical Process Optimization Engineer, you will leverage machine learning to optimize industrial processes, collaborate with clients, and enhance product usage. You must possess a strong background in chemical engineering and have 3-10 years of industry experience, traveling up to 30%.

The role involves conducting research and deploying solutions in deep reinforcement learning technology, focusing on real-world applications in manufacturing.

The Senior Machine Learning Research Engineer will develop deep reinforcement learning technologies, conduct research, advance AutoML solutions, and implement scalable solutions for production environments.

The Solutions Manager ensures customer success and retention, leading project execution, managing relationships, and implementing AI-driven optimization solutions in refining and chemical industries.