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MYFutureJobs Hiring! Full Time AI, Machine Learning - Cloud Career Opportunities in Negeri Sembilan - Ricebowl

AI, Machine Learning - Cloud Career Opportunities

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Working Location

  • Seremban Negeri Sembilan Malaysia

Job Description

Responsibilities

AI, Machine Learning & Cloud Career Opportunities


Location: Seremban, Negeri Sembilan

Working arrangement: Hybrid working arrangements may be considered

Salary Range: RM10,000 - RM15,000 (based on experience)

Interview date: 16 October 2026 (Friday), online


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

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

We welcome applications from professionals with relevant experience in artificial intelligence, software development, deep learning, natural language processing, computer vision and cloud architecture.


AVAILABLE POSITIONS

1. AI Interface Developer

Relevant experience includes:

  • Developing responsive, user-friendly interfaces for AI-powered applications.
  • Integrating AI services, APIs and model outputs into application interfaces.
  • Frontend development, JavaScript/TypeScript, modern UI frameworks and usability testing.

2. Senior AI Engineer

Relevant experience includes:

  • Designing, developing and integrating AI or machine learning solutions.
  • Working across data preparation, model development, evaluation and deployment.
  • Python, machine learning frameworks, backend integration and production deployment.
  • Providing technical guidance and resolving complex engineering challenges.

3. Deep Learning Specialist

Relevant experience includes:

  • Developing, training and evaluating deep learning models.
  • Preparing datasets, selecting neural network architectures and conducting experiments.
  • TensorFlow or PyTorch, model evaluation and performance optimisation.

4. NLP Engineer

Relevant experience includes:

  • Developing systems that process, analyse or generate human language.
  • Working with text datasets, language models and NLP pipelines.
  • Python, text preprocessing, transformer models and language-model evaluation.
  • Integrating NLP capabilities into applications.

5. AI Solutions Architect

Relevant experience includes:

  • Translating business requirements into AI solution designs.
  • Defining system architecture, data flows and integration approaches.
  • Evaluating technology choices for scalability, security and maintainability.
  • Communicating technical recommendations to business and engineering stakeholders.

6. AI Cloud Architect

Relevant experience includes:

  • Designing cloud infrastructure for AI development, training and deployment.
  • Supporting data processing, model serving and application integration.
  • AWS, Microsoft Azure or Google Cloud, containers and infrastructure automation.
  • Planning for security, availability, monitoring and cost efficiency.

7. Senior Deep Learning Engineer

Relevant experience includes:

  • Engineering and implementing deep learning solutions.
  • Developing training and inference pipelines.
  • Optimising models for computational efficiency and production reliability.
  • Deep learning frameworks, GPU computing, deployment and technical mentoring.

8. Computer Vision Engineer

Relevant experience includes:

  • Developing solutions for image and video analysis.
  • Image classification, object detection, segmentation or recognition.
  • Preparing visual datasets, evaluating models and integrating them into applications.
  • Python, OpenCV, image processing and deep learning frameworks.


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 solutions.
  • Strong analytical, troubleshooting and problem-solving skills.
  • The ability to communicate technical ideas and collaborate with


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