AI Engineer (Data) for AI Singapore (Products)

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

We are looking for an AI Engineer to join us in the AI Products Engineering Data team. The selected candidate will jointly be responsible for the architecting, designing, building, testing and maintaining AISG’s SEA-LION LLM big data pipeline.

Duties and Responsibilities

• Design, build, and continuously enhance big data pipelines to process diverse Southeast Asian (SEA) datasets and modalities.
• Integrate latest AI and machine learning techniques to improve data pipelines and data quality.
• Maintain code repository and documentation standards.
• Collaborate with cross-functional teams within AI Products to design and resolve issues.
• Contribute to community engagement activities such as sharing via technical session meet-ups and article write-ups, and participating in discussion forums.

Qualifications

• Degree in computer science, machine learning, AI, or other relevant equivalent quantitative fields.
• Experience in writing clean production level code in Python. Knowledge of other languages will be an advantage.
• Comfortable working in a UNIX environment and writing bash scripts.
• Certifications from any cloud provider, such as AWS, GCP, Azure etc. will be an advantage but not mandatory.

The following experiences will be advantageous:

• Proven experience in designing, building, and maintaining scalable big data pipelines using tools such as Apache Spark, Hadoop, Dask, or similar technologies.
• Previous experience with data lake and data warehouse design and development will be advantageous.
• Familiarity with job orchestration tools such as Apache Airflow for workflow automation and management.

More Information

Location: Kent Ridge Campus

Organization: Office of the Deputy President (Res&Tech)

Department: AI Singapore

Employee Referral Eligible: No

Job requisition ID: 27708