AI/ML Engineer Intern

**About Artajasa** PT Artajasa Pembayaran Elektronis (ATM Bersama) is one of Indonesia's leading payment infrastructure providers, delivering secure, reliable, and high-availability transaction services for banks and financial institutions. As a key enabler of the national payment ecosystem, Artajasa operates mission-critical platforms that support interbank connectivity, fund transfers, switching, clearing, and settlement services across Indonesia. Through continuous innovation and technology advancement, Artajasa is committed to building scalable and resilient payment solutions that support the future of digital finance. **About the Role** We are looking for an AI/ML Engineer Intern to support the development of Artificial Intelligence and Machine Learning solutions for payment technology and business innovation. This internship offers hands-on experience in building machine learning models, exploring Generative AI technologies, and working with real-world transaction data in a collaborative engineering environment. **Key Responsibilities** Assist in developing and testing AI/ML models for business use cases, support data preparation, feature engineering, and model evaluation activities, contribute to Generative AI and Large Language Model (LLM) initiatives, assist in building and maintaining machine learning pipelines and documentation, conduct research on emerging AI technologies and industry trends, collaborate with engineers and product teams to develop AI-powered solutions, and prepare technical documentation and project reports. **Qualifications** * Final-year student or fresh graduate in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field. * Basic understanding of Machine Learning, Deep Learning, or Artificial Intelligence concepts. * Familiarity with Python and common AI/ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. * Basic knowledge of SQL and data processing techniques. * Familiarity with Generative AI, Large Language Models (LLMs), or Retrieval-Augmented Generation (RAG) is a plus. * Familiarity dengan LLM orchestration tools (Dify, LangChain, LangGraph) * Strong analytical thinking, curiosity, and willingness to learn new technologies. * Good communication skills and the ability to work collaboratively in a team environment. * Available for a full-time internship period.