AI Product Engineer, Industrial AI

Evonik; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Evonik is seeking a results-driven AI/ML consultant to drive deployment of AI solutions in industrial manufacturing. You will lead data-driven analyses, optimize processes, and own end-to-end AI projects from concept to production.

The role requires strong Python skills, cloud experience (Azure), and familiarity with Kubernetes and infrastructure as code. You will mentor teams across disciplines and collaborate with external partners to advance innovative methods and tools.

Qualifications

• Experience in technical consulting and enabling data- and AI-driven workflows in operations
• Proven use of modern ML and LLM-based approaches and integration into tool landscapes
• Solid understanding of ML/LLM models, cloud architectures, and AI environments
• Strong Python skills and experience with Microsoft Azure

Responsibilities

• AI & Production Deployment: Develop, implement, and transition AI solutions into production in industrial settings
• Data Analysis & Optimization: Conduct data- and model-driven analyses to identify optimization potential
• Project Ownership: End-to-end responsibility for AI projects from problem definition to integration
• Innovation & R&D: Develop new methods, products, and technologies
• Coaching & Enablement: Coach and empower colleagues in AI topics
• Project Management & Partners: Plan, manage, and execute projects with external providers within governance
• Consulting & Standards: Advise clients and advance reporting standards and tools

Skills

Python programming

Interdisciplinary communication

Hands-on mindset

Tools

Azure

Kubernetes

Infrastructure as Code

Job description

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.

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:

https://www.evonik.com/en/careers/why.html

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

https://www.evonik.com/en/news/meet-the-team.html

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