Enriching Lives Through

INNOVATION & TECHNOLOGY

As practitioners and researchers in Computer Vision, Deep Learning, and Generative AI, we work on real-world perception and reasoning problems involving complex visual and multimodal data.

Our team explores and applies state-of-the-art models-from vision and video understanding to LLMs, VLMs, and generative systems-and translates research into deployable, optimized applications.

If you are passionate about building end-to-end AI systems-from research and model training to production-ready deployment-we invite you to join us as:

R&D Engineer (Computer Vision & Generative AI)

Responsibilities:

1) Research, design, and develop computer vision and deep learning models for image and video understanding.

2) Work on Generative AI systems, including:

a. Large Language Models (LLMs)

b. Vision-Language Models (VLMs)

c. Multimodal and generative architectures.

3) Develop and own the full AI lifecycle:

a. Data preparation and experimentation

b. Model training and fine-tuning

c. Evaluation, optimization, and benchmarking

d. Deployment to local, edge, or cloud environments.

4) Collaborate with cross-functional teams and clearly communicate progress and results.

Requirements:

1) Degree in Electronic/Computer Engineering/Computer Science/AI or related discipline

2) Strong foundation in Computer Vision and Deep Learning.

3) Hands-on experience with Generative AI, including LLMs, VLMs, or related multimodal models.

4) Experience in:

a. Model training and fine-tuning with real-world datasets

b. Deployment and inference optimization

5) Strong programming skills in Python, C++

6) Solid understanding of software engineering principles and application development.

7) Ability to work independently, manage projects end-to-end, and learn new technologies quickly.

8) Strong problem-solving, communication, and teamwork skills.

Preferred / Added Advantages:

1) Experience with Pytorch / TensorFlow, OpenCV, Hugging Face ecosystem.

2) Exposure to Video models, Temporal modelling, or Multimodal transformers.

3) Experience with cloud, edge, or on-device deployment.

4) Familiarity with Docker, REST APIs, FastAPI/Flask, or similar frameworks.

5) Prior experience with:

o Publications (journals, conferences)

o AI competitions (e.g., Kaggle, CV challenges)

o Open-source contributions or research prototypes.

Please write in or email your complete resume, projects and academic transcripts by 13th March 2026, giving full details of your background, experience, career objectives, current and expected salaries, contact number(s), together with a recent non-returnable photograph
PANASONIC R&D CENTER SINGAPORE

202 Bedok South Avenue 1 #02-11 Singapore 469332
E-mail:
Website:

(We regret that only shortlisted candidates will be notified.)

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