Software Engineer Intern: AI Vision & Data Pipelines

EFUNITY PTE. LTD.

Singapore

Hybrid

SGD 13,000 - 20,000

Full time

14 days+
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Job summary

Efunity Pte. Ltd. is seeking a software engineering intern to join the R&D team and work on live data pipelines and a facial-recognition module deployed on customer sites.

You will spend most of your time in Python, maintaining an ingestion pipeline from AWS S3 through Redis Streams to PostgreSQL and owning a face-recognition script used on FSA installations. About one day a week you will be on site with engineers for commissioning and troubleshooting in real-world environments.

Qualifications

  • Currently pursuing a degree in Computer Science, Software Engineering, Computer Engineering, Information Technology or a related discipline, with a 12-month IWSP or industrial attachment window.
  • Genuinely comfortable in Python - read, debug and extend existing code.
  • Experience with PostgreSQL/SQL databases, Redis, MQTT, Docker, Linux, AWS, OpenCV.

Responsibilities

  • Maintain and extend data ingestion pipeline from AWS S3 to PostgreSQL via Redis Streams and MQTT.
  • Own the computer-vision script for facial recognition on FSA installations and improve latency and detection.
  • Support on-site commissioning and troubleshooting across live projects about one day per week.
  • Improve logging, documentation, and release discipline; keep Jira up to date.

Skills

Python
Debugging
Readability

Education

Pursuing degree in CS/SE/CE/IT with 12-month IWSP

Tools

PostgreSQL
Redis
MQTT
Docker
Linux
AWS
OpenCV
GStreamer
FFmpeg

Job description

Efunity Pte. Ltd. is seeking a software engineering intern to join the R&D team and work on live data pipelines and a facial-recognition module deployed on customer sites.

You will spend most of your time in Python, maintaining an ingestion pipeline from AWS S3 through Redis Streams to PostgreSQL and owning a face-recognition script used on FSA installations. About one day a week you will be on site with engineers for commissioning and troubleshooting in real-world environments.

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