job description
Join Nanyang Technological University as an AI Engineer, Data Infrastructure and become a pioneer in scaling AI data pipelines and architecture for cutting-edge LLM workloads. This role offers a unique opportunity to work at the intersection of artificial intelligence and data infrastructure, driving innovation in one of Asia's leading research institutions.
Based in the vibrant regions of Bali, you'll collaborate with a world-class team to design, implement, and optimize AI-driven data solutions. Whether you're working remotely or in a hybrid setup, you'll contribute to groundbreaking projects that shape the future of AI infrastructure.
If you're passionate about AI, data engineering, and building scalable systems, this is your chance to make a significant impact in a dynamic and forward-thinking environment.
Responsibility
- Design, develop, and optimize AI data pipelines to support large-scale LLM workloads.
- Architect and implement scalable data infrastructure solutions for AI and machine learning applications.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Monitor and enhance the performance, reliability, and efficiency of AI data systems.
- Research and implement emerging technologies in AI infrastructure and data engineering.
- Ensure data security, compliance, and governance across AI-driven systems.
- Document technical designs, processes, and best practices for AI infrastructure.
- Mentor junior engineers and contribute to the growth of the AI engineering team.
Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Data Engineering, or a related field.
- Proven experience in AI infrastructure, data engineering, or machine learning operations (MLOps).
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure).
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and data pipeline tools (Airflow, Luigi).
- Knowledge of database systems (SQL, NoSQL) and data warehousing solutions.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication skills and the ability to articulate complex technical concepts.