AI Data Engineer

Flex; Seberang Perai; On-site; MYR 180,000 - 240,000; Full time

Job summary

Flex in Batu Kawan, Penang is seeking an AI Data Senior Engineer to join the team to drive end-to-end data engineering and AI workflows in production.

Applicants should have 4–6 years in data engineering, strong ETL and backend integration experience, and a proven ability to deploy ML models. Excellent coding, communication, and documentation skills are essential for success in a collaborative, fast-paced environment.

Qualifications

• Bachelor’s in Computer Science, Information Systems, or related field.
• 4–6 years in data engineering with ETL pipeline development and backend integration.
• Experience supporting AI/ML workflows with clean, reliable data.
• Proven track record of deploying ML models in production environments.
• Strong problem-solving and analytical mindset.
• Ability to work independently with minimal supervision, or collaboratively in teams.
• Strong programming and coding discipline across multiple languages.
• Excellent communication and presentation skills to technical and non-technical audiences.
• Teamwork, adaptability, and proactive engagement.
• Professional documentation and reporting skills.

Responsibilities

• Develop and maintain data pipelines and ETL processes.
• Support AI/ML workflows with clean, reliable data.
• Deploy ML models in production environments.
• Develop APIs and integrate data with enterprise systems.
• Ensure data governance, security, and compliance.

Skills

AI algorithms

Data governance

Communication skills

Teamwork

Problem solving

Independence

Education

Bachelor's degree in CS/IS

Tools

SQL

Python

Spark

Hadoop

Kafka

Job description

To support our continued growth and delivery of high‑quality products, we are seeking an AI Data, Senior Engineer to join our team to be based at Batu Kawan, Penang.

What a typical day looks like:

• Good experience in Al algorithms of Classification & Detection, Time-Series & Predictive Models, Anomaly Detection, Reinforcement Learning, Clustering & Recommendation.
• SQL, Python, Spark, Hadoop, Kafka.
• Data governance, security, and compliance frameworks.
• API development and integration with enterprise systems.
• Strong coding and automation of data workflows

The experience we’re looking to add to our team:

• Bachelor’s in Computer Science, Information Systems, or related field.
• 4–6 years in data engineering, with ETL pipeline development and backend integration.
• Experience supporting AI/ML workflows with clean, reliable data.
• Experience supporting AI/ML workflows with clean, reliable data.
• Proven track record of deploying ML models in production environments.
• Strong problem‑solving and analytical mindset.
• Ability to work independently with minimal supervision, or collaboratively in teams.
• Strong programming and coding discipline across multiple languages.
• Excellent communication and presentation skills to technical and non‑technical audiences.
• Teamwork, adaptability, and proactive engagement.
• Professional documentation and reporting skills.