Principal AI Engineer - Industrial Intelligence

Evonik Oxeno; Selangor; On-site; MYR 250,000 - 400,000; Full time

Job summary

Evonik in Malaysia is seeking an AI Principal Engineer with 10+ years of experience to design and deliver enterprise-scale AI solutions for production and business processes.

You will lead end-to-end AI initiatives, architect AI systems on Azure cloud-native platforms, and work with software, data science, and operations teams to scale responsibly.

The role requires strong Python, ML, MLOps fundamentals, and excellent communication across interdisciplinary stakeholders to drive measurable impact.

Qualifications

• 10 years of experience in AI engineering, machine learning, software engineering, or data science.
• Hands-on expertise in ML/DL, generative AI, LLMs, RAG, and industrial AI applications.
• Strong understanding of AI systems architecture, enterprise data architecture, and Azure cloud-native platforms.
• Advanced Python with SQL, APIs, microservices, Azure ML, Databricks, Docker and CI/CD basics.
• Experience with MLOps, lifecycle management, monitoring, governance, deployment pipelines.

Responsibilities

• Deliver enterprise-scale AI solutions to production.
• Architect and operate end-to-end AI systems on cloud-native platforms.
• Collaborate with software, data science, and operations teams to scale responsibly.

Skills

AI engineering

Machine learning

Deep learning

Generative AI

LLMs

RAG

Model evaluation

Azure cloud-native platforms

Python

API design

Docker

Kubernetes

Git

CI/CD

MLOps

Tools

Docker

Kubernetes

Git

Azure DevOps

Azure Machine Learning

Databricks

Azure Databricks

Job description

Evonik in Malaysia is seeking an AI Principal Engineer with 10+ years of experience to design and deliver enterprise-scale AI solutions for production and business processes.

You will lead end-to-end AI initiatives, architect AI systems on Azure cloud-native platforms, and work with software, data science, and operations teams to scale responsibly.

The role requires strong Python, ML, MLOps fundamentals, and excellent communication across interdisciplinary stakeholders to drive measurable impact.