Senior Python Engineer - AI/ML Deployment on AWS

re-zoo-me

Singapore

On-site

SGD 120,000 - 180,000

Full time

11 days ago
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Job summary

re-zoo-me in Singapore is seeking an experienced backend software engineer to design and scale API-driven services powering AI-enabled healthcare products, with a strong emphasis on performance and reliability.

You will collaborate with product, engineering, and data teams across cloud-native architectures, AWS, and both cloud and on-premise deployments, shaping architecture decisions, security, and automation.

Qualifications

  • Bachelor's Degree in Computer Science, Engineering, Information Technology, or a related field.
  • 5+ years of backend software engineering experience, including distributed systems and APIs.
  • Strong proficiency in Python and backend application development.
  • Experience with AWS cloud services, cloud-native architectures, and scalable systems.
  • Exposure to AI/ML application deployment, CI/CD pipelines, testing, and software engineering best practices.

Responsibilities

  • Design and develop scalable backend applications, APIs, and cloud-based services.
  • Collaborate with product, engineering, and data teams to deliver innovative digital solutions.
  • Deploy and support AI/ML-enabled applications across cloud and on-premise environments.
  • Contribute to system architecture, platform scalability, and technical design decisions.
  • Ensure reliability, security, and operational excellence through automation and best practices.

Skills

Python
Backend development
Distributed systems
APIs
AWS

Education

Bachelor's Degree in Computer Science or related field

Tools

CI/CD pipelines

Job description

re-zoo-me in Singapore is seeking an experienced backend software engineer to design and scale API-driven services powering AI-enabled healthcare products, with a strong emphasis on performance and reliability.

You will collaborate with product, engineering, and data teams across cloud-native architectures, AWS, and both cloud and on-premise deployments, shaping architecture decisions, security, and automation.

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