AI Product Engineer, Industrial AI

Evonik; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Evonik (SEA) Pte. Ltd. seeks a seasoned AI/ML consultant to drive production deployments and data-driven optimization across industrial operations in Singapore. You will lead end-to-end AI projects, coordinate with cross-functional teams, and ensure scalable, production-ready solutions.

You bring several years of technical consulting, hands-on ML/LLM expertise, cloud skills (Azure), and a collaborative, intercultural mindset to thrive in a global company.

Qualifications

• Years of experience in technical consulting and AI-enabled workflows in operations.
• Proven ability to deploy data- and AI-driven solutions in production.
• Strong understanding of ML/LLM models and cloud architectures.
• Solid Python skills and Azure experience.
• Experience with Kubernetes and infrastructure as code is advantageous.
• Excellent communication in interdisciplinary and intercultural environments.

Responsibilities

• AI deployment: develop and transition AI solutions to production in manufacturing.
• Data analysis: perform model-driven analyses to identify optimization potential.
• Project ownership: end-to-end responsibility from problem to integration.
• R&D: advance existing solutions and design new methods and technologies.
• Coaching: enable colleagues in AI applications and practices.
• Project management: plan and run projects with external partners.
• Consulting: advise clients and develop reporting standards and tools.

Skills

Python programming

ML/LLM knowledge

Data analysis

Interdisciplinary communication

Tools

Kubernetes

Infrastructure as Code

Microsoft Azure

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.

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

Company is Evonik (SEA) Pte. Ltd.