Data Scientist

X-FAB Sarawak; Kuching; On-site; MYR 60,000 - 80,000; Full time

Job summary

A technology firm in Kuching is seeking an experienced AI Engineer to develop and implement machine learning models. Candidates should have a degree in a relevant field and a strong proficiency in Python, alongside hands-on experience in data science. This role offers opportunities for career advancement and extensive benefits, including work-life balance initiatives.

Benefits

Career development and training

Work-life balance

Health and prevention programs

Bonus schemes

Cafeteria and meal subsidy

Qualifications

• Minimum 2 years of hands-on experience in data science or AI engineering roles.
• Eagerness to learn and adapt to new technologies.
• Demonstrates integrity and respect in all interactions.

Responsibilities

• Research, design, and implement machine learning and AI models.
• Maintain and enhance existing ML frameworks.
• Ensure data quality through preprocessing and validation.

Skills

Strong analytical and problem-solving skills

Effective communication

Self-motivated

Proficiency in Python

Understanding of data structures

Familiarity with TensorFlow and PyTorch

Education

Bachelor’s degree or higher in Computer Science or related field

Tools

Docker

Git

Linux environments

Job description

Kuching, Malaysia

Our Benefits

• Career development and training
• Work-life balance
• Health and prevention programs
• Bonus schemes
• Cafeteria and meal subsidy

Your Role

• Research, design, and implement machine learning (ML), deep learning, generative AI, and agentic AI models and systems.
• Maintain and enhance existing ML frameworks, pipelines, and libraries.
• Ensure data quality through preprocessing, cleaning, and validation techniques.
• Conduct applied research to support project-specific requirements in data science, ML algorithms, and automation.
• Monitor and evaluate model performance in production environments, ensuring accuracy and reliability.
• Document system architecture, model behavior, and deployment processes for both technical and non-technical stakeholders.
• Facilitate User Acceptance Testing (UAT) and manage deployment to production environments.
• Use Git for version control and Docker for containerization and deployment.
• Develop reusable, modular, and well-documented Python packages.

Your Profile

• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
• Minimum 2 years of hands‑on experience in data science or AI engineering roles (preferred).
• Eagerness to learn and adapt to new technologies and frameworks.
• Strong analytical and problem‑solving skills.
• Effective communicator with the ability to collaborate across diverse teams.
• Self‑motivated and capable of working independently or in a team.
• Demonstrates integrity, accountability, and respect in all interactions.
• Strong proficiency in Python and object-oriented programming (OOP).
• Solid understanding of data structures, data modeling, ETL processes, and model evaluation techniques.
• Familiarity with libraries / frameworks such as TensorFlow, PyTorch, Keras, scikit-learn, LightGBM, transformers, and Plotly.
• Experience with generative AI, agentic AI, computer vision, global optimization, and time‑series forecasting is a plus.
• Working knowledge of Git, CI/CD pipelines, and MLOps practices.
• Experience with Linux environments and tools like Python Dash, Streamlit, Docker, and Kubernetes.
• Basic knowledge of SQL, NoSQL, and/or vector databases (e.g., PostgreSQL, MongoDB, Chroma).

Contact person: Kristina Sim

Apply now