Backend Engineer – ML Platform
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full-time
Posted on:
Location Type: Hybrid
Location: Taipei • Taiwan
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Tech Stack
About the role
- Design, implement and maintain machine learning platform and data pipelines, ensuring seamless deployment, scaling, and monitoring of models in production environments.
- Set up monitoring systems for deployed models and tracking key metrics.
- Apply and share software engineering best practices within the context of machine learning.
- Collaborate with ML engineers to ensure model performance is maintained in production and work with software engineers to integrate ML systems into the broader application stack.
- Accelerate machine learning development, evaluation, and integration speed through automation of workflows, tools, and processes to enhance collaboration and efficiency.
Requirements
- Proficiency in Python, with solid software engineering fundamentals.
- Hands-on experience designing and building backend APIs or services with frameworks like FastAPI, Django, or similar.
- Experience building and operating containerized applications using Docker, with hands-on expertise in managing Kubernetes clusters.
Benefits
- competitive compensation
- stock options
- flexible hybrid work
- free lunch
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythonmachine learningdata pipelinesbackend APIsFastAPIDjangoDockerKubernetessoftware engineering best practicesautomation
Soft skills
collaborationcommunicationproblem-solvingefficiency enhancement