
Staff Engineer, IT Development
- Kuala Lumpur
- Tetap
- Sepenuh masa
- Malaysia
- Collaborate with data scientists, engineers, and product teams to design and build AI-driven applications and automation solutions that improve operational efficiency.
- Support the development and integration of Generative AI capabilities using Large Language Models (LLMs), prompt engineering.
- Design, develop, and maintain full-stack applications or system components involving but not limited to AI/ML models, APIs, and data pipelines.
- Integrate AI features (e.g., chatbots, document understanding, summarization, or vision analytics) into internal tools and systems.
- Manage and integrate REST APIs to connect analytics services, LLM backends, and external systems securely and efficiently.
- Support the deployment and monitoring of AI models using DevOps/MLOps tools such as Docker, Kubernetes, and MLflow, and deploy to AWS or Edge environments.
- Translate business or user requirements into technical specifications and system designs.
- Continuously learn and apply emerging technologies in AI/ML, LLMs, and cloud-native applications to production use cases.
- Bachelor's or master's degree in computer science, Data Science, Engineering, Statistics, or a related discipline.
- 3 to 5+ years of experience in data science, with at least 2-3 years of hands-on experience in data engineering or backend data workflows.
- Proficient in Python (Pandas, NumPy, scikit-learn) and SQL.
- Strong grasp of machine learning, deep learning, and statistical modeling.
- Deep understanding of cloud platforms (AWS/GCP/Azure), especially cloud-based data services.
- Familiarity with CI/CD pipelines, Docker, and container orchestration (e.g., Kubernetes).
- Exposure to modern data platforms: Snowflake, Databricks, BigQuery, etc.
- Knowledge of data pipelines, SQL, and data processing frameworks is a plus.
- Malaysia
- Malaysia