Job Description

ST Engineering is a global technology, defense, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust spanning across the aerospace, smart city, defense, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.As a Machine Learning Intern, you will collaborate with our engineers to design, build, and implement machine learning models, focusing on prediction and forecasting tasks. You will help improve operational efficiency by applying machine learning techniques in real-world environments, particularly in healthcare settings.Key Responsibilities:

• Assist in researching and developing machine learning models for predictive analytics and time-series forecasting.
• Implement algorithms such as regression, decision trees, and clustering in operational data environments.
• Collaborate with cross-functional teams to integrate models into existing systems.
• Conduct data preprocessing, feature engineering, and model tuning.
• Evaluate model performance and suggest improvements for better accuracy and efficiency.

About You: We are looking for driven individuals passionate about applying machine learning techniques to enhance operational outcomes in dynamic environments.Minimum Qualifications:

• Students pursuing a Diploma in Computer Science, Data Science, or a related field.
• Knowledge of data manipulation libraries (e.g., pandas, NumPy).
• Proficiency in Python and familiarity with machine learning libraries such as TensorFlow or Scikit-learn.
• Strong analytical and problem-solving skills.

Preferred Qualifications:

• Students pursuing a Bachelor\xe2\x80\x99s degree in Computer Science, Data Science, or a related field.
• Experience with big data processing frameworks such as Apache Spark or Hadoop.
• Familiarity with time-series forecasting and machine learning models such as Random Forest or LSTM.
• Experience working with healthcare data is a plus.

Location: ST Engineering Headquarters \xe2\x80\x93 SingaporeTravel: NoneApplication InstructionsPlease apply for this position by submitting your text CV using InternSG. Be sure to include links to any relevant GitHub repositories or Kaggle notebooks that showcase your previous work. Kindly note that only shortlisted candidates will be notified.

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