AI Product Engineer Industrial AI

Evonik Methionine SEA Pte Ltd; Singapore; Presencial; SGD 90 000 - 150 000; Tempo integral

Resumo da oferta

Evonik (SEA) Pte. Ltd. is seeking an experienced AI/ML consultant to lead deployment of AI-based solutions in industrial settings. You will drive data-driven analyses to identify optimization potentials and own AI projects end-to-end, from problem definition to integration into operations.

You will coach teams in AI methods, collaborate with external partners, and help advance standards and tools across projects.

Qualificações

• Several years of experience in technical consulting, enablement, and the introduction of data- and AI-driven workflows in operational processes.
• Experience with modern ML and LLM-based approaches and integration into tool landscapes.
• Solid understanding of ML/LLM models, model lifecycle, validation, and cloud architectures.

Responsabilidades

• AI-based solution deployment in industrial manufacturing environments.
• Data- and model-driven analyses to identify optimization potential.
• End-to-end ownership of AI projects from problem definition to integration.
• Further development of existing solutions and design of new AI methods and tools.
• Coach and enable employees in AI topics across teams.
• Plan, manage, and execute projects with external providers within governance.
• Advise clients, ensure reporting, and develop standards and tools.

Conhecimentos

Python

AI/ML concepts

LLM-based approaches

Data-driven analysis

Communication

Intercultural collaboration

Project ownership

Cloud architectures

Prompt engineering

Model lifecycle

Team collaboration

Ferramentas

Kubernetes

Infrastructure as Code

Descrição da oferta de emprego

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

Your Talent Acquisition Manager:

Samantha Fu

Company is

Evonik (SEA) Pte. Ltd.