job description
Join SWAEN CAPITAL PTE. LTD. as an AI Engineering Intern and dive into the world of artificial intelligence in the vibrant heart of Bali. This is a unique opportunity to work on real-world AI applications, from designing intelligent systems to deploying scalable solutions that solve complex problems.
As part of our dynamic team, you’ll collaborate with seasoned AI professionals, gaining hands-on experience in machine learning, natural language processing, computer vision, and data engineering. Whether you're developing predictive models, optimizing algorithms, or integrating AI into business workflows, your contributions will have a tangible impact.
Based in Canggu, Bali, you’ll enjoy a creative and inspiring work environment while building a strong foundation for a career in AI. This internship is perfect for passionate learners eager to turn theoretical knowledge into practical, industry-ready skills.
Responsibility
- Design, develop, and test AI/ML models for real-world applications, including NLP, computer vision, or predictive analytics.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
- Preprocess and analyze large datasets to ensure high-quality inputs for AI models.
- Optimize and fine-tune algorithms for performance, scalability, and accuracy.
- Assist in deploying AI models to cloud platforms (AWS, GCP, or Azure) and monitor their performance.
- Document technical processes, including data pipelines, model training, and evaluation metrics.
- Stay updated with the latest AI research, tools, and frameworks and propose innovative solutions.
- Participate in code reviews, sprint planning, and agile development practices.
Qualifications
- Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, Engineering, or a related field.
- Strong foundation in Python, TensorFlow, PyTorch, or scikit-learn.
- Familiarity with data structures, algorithms, and statistical modeling.
- Experience with SQL, NoSQL databases, or big data tools (e.g., Spark, Hadoop) is a plus.
- Basic understanding of cloud computing platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving and analytical skills with a detail-oriented mindset.
- Strong communication and teamwork abilities to collaborate effectively in a fast-paced environment.
- Passion for AI and a portfolio or projects (GitHub, Kaggle, personal blog) showcasing your skills is highly desirable.