Engineer, Data Scientist

Private Advertiser; Kuching; On-site; MYR 120,000 - 180,000; Full time

Job summary

Private Advertiser in Kuching, Malaysia is seeking an Engineer, Data Scientist to join our team in a full-time role. You will build ML and AI models to improve operations and decision-making across the organization, using Python and modern ML frameworks in production environments.

You'll maintain pipelines, ensure data quality, document architecture, and collaborate with stakeholders. The role requires 2+ years in data science or AI engineering, strong Python skills, and experience with Git,

Qualifications

• Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, AI, or related field.
• Minimum 2 years of hands-on experience in data science or AI engineering roles (preferred).
• 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, LLMs, and Plotly.
• Experience with generative AI (VLLM, guardrails, RAG, etc.), 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, graph, and/or vector databases (e.g., PostgreSQL, MongoDB, Qdrant, Neo4j, ArcadeDB).

Responsibilities

• Research, design, and implement 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.

Skills

Python

OOP

Data structures

ETL

Model evaluation

Git

Linux

Docker

Kubernetes

CI/CD pipelines

SQL/NoSQL basics

Education

Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, AI, or related field

Tools

TensorFlow

PyTorch

Keras

scikit-learn

LightGBM

transformers

LLMs

Plotly

PostgreSQL

MongoDB

Qdrant

Neo4j

ArcadeDB

Job description

We are seeking an Engineer, Data Scientist to join our team in Kuching, Sarawak. This is a full-time position that plays a crucial role in leveraging data analytics and scientific methodologies to drive operational efficiency, optimize manufacturing processes, and support strategic decision-making across our organization.

What you’ll be doing

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.

What we’re looking for

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).

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, LLMs, and Plotly.

Experience with generative AI (VLLM, guardrails, RAG, etc.), 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, graph, and/or vector databases (e.g., PostgreSQL, MongoDB, Qdrant, Neo4j, ArcadeDB).