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18 дней назад

Senior Machine Learning Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (AI): Building and maintaining scalable architecture and infrastructure for ML applications with an accent on MLOps, CI/CD, and end-to-end product deployment. Focus on driving functional streams of work, mentoring team members, and aligning technical ML strategies with complex business objectives.

Location: Must be a Singaporean citizen or hold Singaporean Permanent Residency (PR)

Company

hirify.global is a global technology consultancy that helps clients solve complex business problems through purposeful and impactful software solutions.

What you will do

  • Design and drive the development of robust, scalable architectures for deploying and managing ML applications.
  • Collaborate with data scientists to translate business needs into efficient ML systems.
  • Own the development of core functionalities including ML pipelines, model training, and monitoring.
  • Provide technical expertise and lead functional streams of work to ensure timely delivery.
  • Facilitate collaborative problem solving and mentor other engineers within the team.
  • Contribute to the execution of the team's overall ML strategy and technical roadmap.

Requirements

  • Must be a Singaporean citizen or hold Singaporean Permanent Residency (PR).
  • Experience in writing clean, maintainable, and testable code.
  • Proficiency in Python or Shell scripting for automation.
  • Strong knowledge of distributed systems and scalable architectures.
  • Hands-on experience with ML platforms such as Scikit-learn, Tensorflow, MLFlow, Kubeflow, or Pytorch.
  • Experience with MLOps principles, CI/CD, and infrastructure management on cloud or on-premise services.

Culture & Benefits

  • Strong emphasis on continuous learning and individual career development.
  • Access to interactive tools and development programs to support professional growth.
  • Collaborative and inclusive community environment.
  • Focus on technical excellence and knowledge sharing.

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