R&D Engineer

2 weeks ago

Singapore PANASONIC ASIA PACIFIC PTE. LTD. Full time
Roles & Responsibilities

  • Design and develop the AI platform architecture and infrastructure to support the deployment, monitoring, and management of machine learning models and AI applications.
  • Establish and maintain MLOps best practices, including CI/CD pipelines, version control, and automated testing for machine learning models.
  • Develop tools and frameworks for model monitoring, logging, and performance tracking.
  • Manage and optimize cloud-based infrastructure resources (e.g., AWS, Azure, Google Cloud) to support AI platform development and deployment.
  • Implement containerization and orchestration technologies (e.g., Docker, Kubernetes) to streamline deployment and scaling of AI applications.

Requirements:

  • Degree in Computer Science, Artificial Intelligence, Engineering or similar.
  • Proficiency in programming languages such as Python, C, C++, or JS.
  • Rich experience in machine learning, and algorithm development.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and infrastructure as code.
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Prior experience in MLOps, DevOps, or software engineering roles.
  • Experience in designing scalable architectures for complex systems, providing architect solutions that can accommodate future growth and evolving business requirements.

Tell employers what skills you have

Machine Learning
Version Control
Kubernetes
Azure
Pipelines
Artificial Intelligence
Wireless
Research and Development
Logging
Algorithm Development
Python
Containerization
Google Cloud
Docker
Orchestration
C++

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