Data & AI Intern
Job Summary
As a Data/AI Intern, you will work within the Services Delivery team to support data analytics and artificial intelligence projects. You will assist in developing AI models, performing data engineering tasks, and conducting data analysis. This role offers hands-on experience, professional mentorship, and the opportunity to contribute to real-world digital transformation solutions.
Responsibilities
- Develop and implement AI models and algorithms
- Perform data collection, cleaning, and preprocessing
- Conduct data analysis and derive insights
- Collaborate on cross-functional AI integration projects
- Assist in technical documentation and reporting
Required Skills
- Pursuing degree in CS, Data Science, or related field
- Proficiency in Python, R, or Java
- Knowledge of ML algorithms and data analysis
- Strong analytical and problem-solving abilities
- Familiarity with AI frameworks (TensorFlow, PyTorch, scikit-learn)
Job Details
Responsibilities:
- Assist in the development and implementation of AI models and algorithms to solve real-world problems.
- Support the data engineering team in data collection, cleaning, and preprocessing.
- Conduct data analysis to extract meaningful insights and trends.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Participate in the design and execution of data-driven projects.
- Conduct research on the latest trends and advancements in AI and data science.
- Assist in the preparation of technical documentation and reports.
What we offer:
- Attractive allowance for full-time program.
- Working time: Monday-Fri, 9am-6pm; flexible working time.
- On-the-job training and participation in practical projects.
- Opportunities to work with global colleagues from different cultures.
- Performance review and upgrade to Full-time employee.
- Other activities: exciting engagement events, training opportunities, etc.
Requirements:
- Currently pursuing a degree in Computer Science, Data Science, or a related field.
- Strong analytical and problem-solving skills.
- Basic understanding of machine learning algorithms and data analysis techniques.
- Familiarity with programming languages such as Python, R, or Java.
- Excellent communication and teamwork skills.
- Eagerness to learn and adapt to new technologies and challenges.
Preferred Qualifications:
- Experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Understanding of data privacy regulations and compliance standards.
- Previous internship or project experience in data analytics or AI.