Senior AI Data Engineer: ML Pipelines in Production

Flextronics - The Flex Company; Bayan Lepas; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

Dental

Vision

Life Insurance

Paid Time Off

Performance Bonus

Job summary

Flextronics - The Flex Company in Penang seeks an AI Data, Senior Engineer to support growth and deliver high-quality products from Batu Kawan. You will design and implement AI data workflows, build reliable data pipelines, and collaborate with multi-disciplinary teams.

The role requires 4–6 years in data engineering, strong ETL experience, and experience deploying ML models in production. You will work with SQL, Python, Spark, Hadoop, Kafka, and cloud services like AWS Redshift, Azure Data

Qualifications

• Bachelor’s in Computer Science, Information Systems, or related field.
• 4–6 years in data engineering with ETL pipeline development.
• Experience supporting AI/ML workflows with clean, reliable data.
• Proven track record of deploying ML models in production.

Responsibilities

• Work on AI algorithms for classification, detection, time-series, and reinforcement learning.
• Develop SQL, Python, Spark, Hadoop, and Kafka pipelines.
• Use cloud data services like AWS Redshift, Azure Data Factory, GCP BigQuery.
• Ensure data governance, security, and compliance.

Skills

Python programming

Data modeling

Big data tooling

SQL

Problem solving

Teamwork

Communication

Education

Bachelor's degree in CS/IS or related field

Tools

SQL

Python

Spark

Hadoop

Kafka

Job description

Flextronics - The Flex Company in Penang seeks an AI Data, Senior Engineer to support growth and deliver high-quality products from Batu Kawan. You will design and implement AI data workflows, build reliable data pipelines, and collaborate with multi-disciplinary teams.

The role requires 4–6 years in data engineering, strong ETL experience, and experience deploying ML models in production. You will work with SQL, Python, Spark, Hadoop, Kafka, and cloud services like AWS Redshift, Azure Data