AI & MACHINE LEARNING CAREER OPPORTUNITIES

AI & MACHINE LEARNING CAREER OPPORTUNITIES

Location: Seremban, Negeri Sembilan

Working arrangement: Hybrid working arrangements may be considered

Salary range: RM10,000–RM15,000 per month, based on experience

Interview date: 16 October 2026 (Friday), online

MYFutureJobs Negeri Sembilan is sourcing candidates for three specialist positions with a technology services company based in Seremban.

The company provides customised digital solutions, including web and mobile application development, digital marketing and other technology services. It works with clients to develop solutions that support their business objectives, improve operations and strengthen their digital presence.

We welcome applications from professionals with relevant experience in natural language processing, AI development and federated learning.

AVAILABLE POSITIONS

1. Senior NLP Engineer

Relevant experience includes:

• Designing, developing and deploying solutions that process, analyse or generate human language.
• Working with text datasets, NLP pipelines, transformer models and large language models.
• Preparing data, fine-tuning models and evaluating performance for specific business applications.
• Integrating NLP capabilities into software applications and production systems.
• Using Python and relevant frameworks or libraries such as PyTorch, TensorFlow or Hugging Face.
• Providing technical guidance and resolving complex NLP engineering challenges.

2. Lead AI Developer

Relevant experience includes:

• Leading the development and delivery of AI-powered applications and machine learning solutions.
• Translating business requirements into practical technical designs and development plans.
• Overseeing data preparation, model development, evaluation, integration and deployment.
• Developing backend services and APIs that connect AI models with application systems.
• Reviewing code, guiding developers and maintaining development standards.
• Monitoring production performance and addressing reliability, scalability and model quality.
• Working with Python, machine learning frameworks and cloud deployment environments.

3. Federated Learning Engineer

Relevant experience includes:

• Developing machine learning systems that train models across distributed devices or organisations while keeping training data decentralised.
• Designing federated training workflows, model aggregation methods and evaluation processes.
• Addressing challenges involving differing data distributions, communication efficiency and distributed system reliability.
• Applying privacy-preserving techniques, such as secure aggregation or differential privacy, where appropriate.
• Working with Python, machine learning frameworks and federated learning tools.
• Testing and deploying distributed learning solutions, with attention to model performance, security and scalability.

WHO SHOULD APPLY

Candidates with relevant technical experience in one or more of the areas above are encouraged to apply.

We are looking for applicants who can demonstrate:

• Practical experience developing, testing or deploying relevant AI or machine learning solutions.
• Strong analytical, troubleshooting and problem-solving skills.
• The ability to communicate technical ideas clearly and collaborate with technical and business teams.
• Experience taking ownership of technical work and delivering solutions against project requirements.
• For senior and lead positions, experience providing technical guidance, mentoring developers or coordinating development activities.

Mandarin proficiency is an advantage.

HOW TO APPLY

Interested candidates are invited to submit an updated résumé through this LinkedIn vacancy posting. Your résumé will be reviewed to identify the most suitable position based on your experience and skills.

Shortlisted candidates will be contacted for an online interview on 16 October 2026.