About the role
AI summarisedInternship opportunity at Keppel for a Data Engineering/AI Engineering role within the AI Engineering Office. The intern will work on data pipelines, AI models, and analytics projects, gaining hands-on experience in a technology-driven environment.
IndustrialFull-timeGeneral
Key Responsibilities
- Assist in designing, building, and maintaining scalable data pipelines and ETL processes.
- Develop and implement machine learning models and AI solutions for business problems.
- Perform data analysis, data cleaning, and feature engineering to support AI initiatives.
- Collaborate with cross-functional teams to understand requirements and deliver data-driven insights.
- Document processes, models, and code for reproducibility and knowledge sharing.
- Participate in code reviews and contribute to best practices in data engineering and AI.
Requirements
- Currently pursuing a degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field.
- Strong programming skills in Python and SQL.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Understanding of data engineering concepts (e.g., data pipelines, ETL, data warehousing).
- Excellent problem-solving and analytical skills.
- Good communication and teamwork abilities.
- Prior internship or project experience in data engineering or AI is a plus.
- Knowledge of cloud platforms (e.g., AWS, Azure, GCP) is preferred.