Industrial AI Product Engineer: Production-Scale AI

Evonik Methionine SEA Pte Ltd; Singapore; Sur place; SGD 90 000 - 150 000; Plein temps

Résumé du poste

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.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Python

AI/ML concepts

LLM-based approaches

Data-driven analysis

Communication

Intercultural collaboration

Project ownership

Cloud architectures

Prompt engineering

Model lifecycle

Team collaboration

Outils

Kubernetes

Infrastructure as Code

Description du poste

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.