AI Engineer: ML & Data-Driven Automation Specialist

WDD Malaysia; Selangor; On-site; MYR 90,000 - 150,000; Full time

Job summary

WDD Malaysia is seeking an experienced AI Engineer to design and implement AI software systems, leveraging machine learning to build intelligent applications. You will work with cross-functional teams to transform data into scalable solutions.

The ideal candidate has strong background in ML, deep learning, statistics, and hands-on coding in Python, GO, Java, or R. Experience with TensorFlow or Keras and big data tools is a plus.

Qualifications

• Proven experience as an AI Engineer or similar role.
• Strong knowledge in machine learning, deep learning, and statistics.
• Hands-on experience with programming languages like Python, GO, Java, or R.

Responsibilities

• Design and develop machine learning and deep learning systems.
• Run machine learning tests and experiments to enhance the intelligence of our systems.
• Implement algorithms that drive automation and optimization.
• Process, cleanse, and verify the integrity of data used for analysis.
• Collaborate with stakeholders to identify opportunities for leveraging company data to drive business solutions.
• Fine-tune models based on business requirements and integrate AI functionalities into existing company products.
• Research and implement best practices to improve the existing machine learning infrastructure.
• Provide support to engineers and product teams in implementing AI tools.

Skills

Machine learning

Deep learning

Statistics

Python

Data modeling

Big data

Education

BSc/BA in CS/Engineering

Master's in Data Science

Tools

Keras

TensorFlow

scikit-learn

Hadoop

Spark

Kafka

Job description

WDD Malaysia is seeking an experienced AI Engineer to design and implement AI software systems, leveraging machine learning to build intelligent applications. You will work with cross-functional teams to transform data into scalable solutions.

The ideal candidate has strong background in ML, deep learning, statistics, and hands-on coding in Python, GO, Java, or R. Experience with TensorFlow or Keras and big data tools is a plus.