lavori da Ai in località Malaysia

Kuching, Malaysia

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

• 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.

• 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