AI Developer
- Hybrid
- Kelana Jaya, Selangor, Malaysia
- GAC IT
Design, build, and deploy AI solutions to solve business problems. Collaborate with stakeholders to develop scalable machine learning models, integrate systems, and continuously improve performance.
Job description
AI Developer
Location: Kelana Jaya, Petaling Jaya HQ, Malaysia
Employment Type: Full-time (Hybrid)
Job grade: Mid level
Build the Future with AI
Are you passionate about artificial intelligence and solving real-world business problems using machine learning and intelligent systems? Do you enjoy turning complex challenges into innovative AI-driven solutions? If yes, GAC Cargo Systems wants to hear from you.
If appointed as our AI Developer, you will be responsible for designing, developing and deploying AI-powered applications that support our business. This role involves working closely with stakeholders and data teams to translate business problems into scalable and intelligent AI solutions aligned with the company’s technology strategy.
Key Responsibilities
Developing AI models from concept through to deployment.
Translating business requirements into AI-driven solutions.
Designing, building and maintaining AI algorithms and applications.
Collaborating with data science teams to develop efficient data pipelines and systems.
Integrating AI solutions into existing company platforms and workflows.
Validating, testing and deploying machine learning models.
Monitoring and improving model performance and scalability.
Staying updated with emerging AI technologies, tools and trends.
Presenting technical insights and findings to non-technical stakeholders.
Ensuring AI solutions comply with ethical and regulatory standards.
Providing technical support for deployed AI systems.
Job requirements
What We’re Looking For
Qualifications & Experience
At least 3 years of experience as an AI Developer or in a similar role.
Strong programming skills in Python, Java or other AI-related languages.
Hands-on experience with machine learning frameworks such as TensorFlow, Keras or PyTorch.
Good understanding of machine learning, neural networks and natural language processing.
Strong foundation in mathematics, statistics and algorithms.
Experience with databases and Big Data platforms.
Familiarity with cloud platforms such as AWS, Microsoft Azure or Google Cloud.
Skills & Attributes
Strong analytical and problem-solving skills.
Ability to translate complex problems into practical AI solutions.
Excellent communication skills, including presenting to non-technical stakeholders.
Strong teamwork and collaboration abilities.
Detail-oriented with a focus on quality and scalability.
Ability to work independently and manage multiple priorities.
Additional Requirements
Occasional travel may be required for project collaboration or professional engagements
Why Join Us?
As part of our team, you will:
Work on innovative AI projects with real business impact
Be part of a forward-thinking and collaborative environment
Gain exposure to modern AI technologies and cloud platforms
Develop your technical and professional capabilities
Contribute to shaping the company’s AI-driven future
Benefits
Competitive performance bonus
Flexible working arrangement (hybrid model)
Comprehensive medical coverage
Annual Health screening
Career development and growth opportunities
Continuous training and development support
Company mobile phone and SIM card (role-based provision)
Festival celebrations and employee engagement activities
Subsidized parking (50%)
If you think you have what it takes to become part of the GAC Cargo Systems team, we look forward to receiving your application.
Please note that as well as working to recruit staff members via GAC channels, GAC does use third-party recruiters to recruit for specific positions within the Group. Please do however, be aware of unaffiliated recruiters purporting to represent GAC that ask for payment in return for facilitating interviews. A genuine third-party recruiter working with GAC will never ask for payment to facilitate an interview. If you would like to make an application to join GAC, please always ensure to apply through our official channels on https://career.gac.com/ or our LinkedIn listing.
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