Junior AI/ML Engineer — Build Production Models & Impact

Private Advertiser; Petaling Jaya; On-site; MYR 120,000 - 240,000; Full time

Benefits offered by this job

Bonus

Medical Insurance

Dental and Optical benefits

Career progression opportunities

Snacks, coffee and soda

Job summary

Private Advertiser is seeking an AI Engineer to develop and deploy AI-powered solutions that boost platform performance and user experience. You will work with product, engineering, and business teams to identify opportunities for AI-driven improvements and business growth.

The role requires a strong foundation in machine learning, deep learning, and production-grade model deployment, with a focus on delivering scalable solutions.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (GCP or AWS) for AI model development and deployment.
• Strong analytical and problem-solving skills, with effective communication.

Responsibilities

• Design, develop, and implement AI models and algorithms for business needs.
• Analyse large datasets to identify patterns for model development.
• Build and maintain AI pipelines for training, evaluation, deployment, and monitoring.
• Collaborate with engineering to integrate models into platforms and apps.
• Stay updated on AI advances and promote innovative technology use.

Skills

Python

Analytical thinking

Problem solving

Teamwork

Communication

Education

Bachelor's Degree in Computer Science

Tools

TensorFlow

PyTorch

scikit-learn

Google Cloud Platform

AWS

Job description

Private Advertiser is seeking an AI Engineer to develop and deploy AI-powered solutions that boost platform performance and user experience. You will work with product, engineering, and business teams to identify opportunities for AI-driven improvements and business growth.

The role requires a strong foundation in machine learning, deep learning, and production-grade model deployment, with a focus on delivering scalable solutions.