Data Scientist

2 days ago

Kuching, Sarawak, Malaysia X-FAB Full time 60,000 - 120,000 per year

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

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