AI R&D Engineer: Computer Vision & LLMs

Panasonic Asia Pacific Pte Ltd; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Panasonic Asia Pacific Pte Ltd is seeking a senior AI researcher to lead the development of computer vision, generative AI, and large language model applications. You will prototype, train, and evaluate models, and build AI solutions for local and cloud deployments while collaborating across teams.

You should have hands-on DL experience, strong Python skills, and familiarity with PyTorch/TensorFlow, Docker, Git, and Linux. Proactive learning and teamwork are essential for success.

Formación

• Degree in Electronic Engineering, Computer Engineering, CS, AI, or related fields.
• Strong Python programming and experience with major DL frameworks (PyTorch, TensorFlow).
• Hands-on experience training, fine-tuning and evaluating DL models.

Responsabilidades

• Research and develop AI algorithms in CV, Generative AI, VLMs, and LLMs.
• Train, fine-tune, and evaluate deep learning models for CV and multimodal tasks.
• Develop AI apps using LLM APIs, RAG, and agent-based workflows.
• Design and deploy AI systems in local and cloud environments.
• Communicate progress clearly to collaborators and stakeholders.
• Handle multiple R&D tasks independently and proactively learn.
• Collaborate with team members to share knowledge effectively.

Conocimientos

Python

Deep learning

Computer Vision

Generative AI

LLMs

Communication

Educación

Bachelor's degree in Electronic Engineering, Computer Engineering, Computer Science, AI, or related disciplines

Herramientas

PyTorch

TensorFlow

Docker

Git

Linux

Descripción del empleo

Panasonic Asia Pacific Pte Ltd is seeking a senior AI researcher to lead the development of computer vision, generative AI, and large language model applications. You will prototype, train, and evaluate models, and build AI solutions for local and cloud deployments while collaborating across teams.

You should have hands-on DL experience, strong Python skills, and familiarity with PyTorch/TensorFlow, Docker, Git, and Linux. Proactive learning and teamwork are essential for success.