AI Product Engineer Industrial AI

What we offer

At Evonik, you’re part of a global chemical company working in many sectors that go beyond chemistry. From lipids for tomorrow’s medicines, biosurfactants for green detergents, additives for plastics recycling or membranes to help drive forward the energy transition, you’ll play an essential part in helping the world’s most essential industries succeed.

Our success hinges on a diversity of ideas powered by people, not egos. Whether you’re a scientist or engineer, new to the team or established, in business, production, or anything in between – we cheer each other on. Because we believe we can do anything. Explore everything. And Be Part of Something Special!

Find out more about the many benefits we offer:




Meet the team and get to know the people behind Evonik:

RESPONSIBILITIES

• AI & Production Deployment: Development, implementation, and transition of AI-based solutions into production use within industrial manufacturing environments
• Data Analysis & Optimization: Conducting data- and model-driven analyses to identify and implement optimization potential
• Project Ownership: End-to-end responsibility for AI projects – from problem definition to integration into operational processes
• Innovation & R&D: Further development of existing solutions as well as the design of new innovative methods, products, and technologies (R&D)
• Coaching & Enablement: Coaching and enabling employees in the field of artificial intelligence
• Project Management & Partners: Planning, managing, and executing projects, including collaboration with external service providers within a governance framework
• Consulting & Standards: Advising clients, ensuring reporting, and further developing standards, methods, and tools

REQUIREMENTS

• Professional Experience: Several years of experience in technical consulting, enablement, and the introduction of data- and AI-driven workflows in operational processes, including experience in developing, operating, and scaling production-grade ML/AI systems
• Experience: Proven experience in the productive use of modern ML and LLM-based approaches (including prompt engineering and agent-based systems) and integration of AI solutions into existing tool and system landscapes
• Knowledge: Solid understanding of ML and LLM models, including model lifecycle, validation, and limitations, as well as knowledge of modern cloud architectures and their use in AI/ML environments
• IT Skills: Strong Python skills, experience with Microsoft Azure
• Additional Qualifications: Knowledge of process modeling and simulation, experience with Kubernetes, and Infrastructure as Code, as well as competencies in combining simulation, machine learning, and optimization with basic know-how in operations research
• Soft Skills: Responsible team player with a hands-on mentality and strong communication skills in interdisciplinary and intercultural environments

Your Application

To ensure that your application is proceeded as quickly as possible and to protect the environment, please apply online via our careers portal. Further information about Evonik as Employer can be found at .

Please address your application to the Talent Acquisition Manager, stating your earliest possible starting date and your salary expectations.

Your Talent Acquisition Manager:

Samantha Fu

Company is

Evonik (SEA) Pte. Ltd.