R&D Engineer (CV/LLM/VLM/AI)

Panasonic Asia Pacific Pte Ltd

Singapore

In loco

SGD 120.000 - 180.000

Tempo pieno

7 giorni fa
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Descrizione del lavoro

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.

Competenze

  • 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.

Mansioni

  • 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.

Conoscenze

Python
Deep learning
Computer Vision
Generative AI
LLMs
Communication

Formazione

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

Strumenti

PyTorch
TensorFlow
Docker
Git
Linux

Descrizione del lavoro

Company Overview

Panasonic R&D Center Singapore drives innovation to impact lives globally by pushing boundaries in technology and excellence. We focus on enriching the present and enhancing the future for societies worldwide.

Job Summary

Lead research and development of AI algorithms and applications in computer vision, generative AI, and large language models to deliver innovative AI systems in local and cloud environments.

Responsibilities
  • Research and develop AI algorithms and applications in Computer Vision, Generative AI, Vision-Language Models (VLMs), and Large Language Models (LLMs) to advance AI capabilities.
  • Train, fine-tune, and evaluate deep learning models for computer vision and multimodal AI applications such as diffusion models to optimize performance.
  • Develop AI applications using LLM APIs, Retrieval-Augmented Generation (RAG), and agent-based workflows to create advanced AI solutions.
  • Design, implement, and evaluate AI systems in local and cloud environments to ensure scalable and efficient deployment.
  • Communicate progress and plans effectively and timely to collaborators to support project alignment and decision-making.
  • Manage multiple R&D tasks independently, demonstrating strong problem-solving skills and a proactive learning attitude.
  • Collaborate with team members to foster effective teamwork and knowledge sharing.
Required competencies and certifications
  • Degree in Electronic Engineering, Computer Engineering, Computer Science, AI, or related disciplines.
  • Proficient programming skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Hands-on experience in training, fine-tuning, and evaluating deep learning models.
  • Solid understanding of Computer Vision, image generation, and generative AI techniques.
  • Experience with LLMs, LLM APIs, Retrieval-Augmented Generation (RAG), or AI agent frameworks.
  • Familiarity with Linux, Git, Docker, and deploying models in local and cloud environments.
  • Strong communication skills to report progress and collaborate effectively.
Preferred competencies and qualifications
  • Proactive attitude towards continuous learning and problem-solving to adapt to evolving AI technologies.
  • Ability to work independently while managing multiple research and development tasks efficiently.
  • Excellent teamwork skills to contribute positively to collaborative projects.
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