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4 дня назад

ML Engineer (Mid-level) (Machine Learning/AI)

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

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TL;DR
ML Engineer (Mid-level) (Machine Learning/AI): Designing, deploying, and maintaining machine learning models and end-to-end pipelines for large datasets and real-time production environments with an accent on scalability, robustness, and model optimization. Focus on building reliable ML systems, troubleshooting production performance, and researching emerging Machine Learning and AI technologies.

Location: Bangkok, Thailand

Company

hirify.global is an independent technology consulting firm providing technology guidance and solutions to businesses through an international team across more than 60 countries.

What you will do

  • Design, develop, deploy, and maintain machine learning models.
  • Build end-to-end pipelines covering data preprocessing, training, evaluation, deployment, and optimization.
  • Implement scalable ML solutions for large datasets and real-time environments.
  • Monitor and troubleshoot production ML systems to ensure reliability and performance.
  • Collaborate with Data Scientists, Engineers, and business stakeholders to translate requirements into effective solutions.
  • Research current Machine Learning and AI technologies and introduce relevant innovations.

Requirements

  • At least 5 years of experience in Machine Learning Engineering, Data Science, or a related field.
  • Hands-on experience developing and deploying machine learning models and building end-to-end ML pipelines.
  • Understanding of data preprocessing, model training, evaluation, optimization, and production environments.
  • Strong programming, problem-solving, communication, and teamwork skills.
  • Ability to work independently, take ownership of technical tasks, and collaborate with technical and business stakeholders.
  • English and Thai language skills required.

Culture & Benefits

  • International workplace with colleagues from more than 110 nationalities.
  • Internal Academy with more than 250 training modules.
  • Career development supported by a leadership culture focused on growing talent.
  • Regular afterwork gatherings, team-building events, and CSR initiatives.

Hiring process

  • Brief virtual or phone call.
  • Approximately three interviews, varying by seniority.
  • Potential case study, technical assessment, role play, or problem-solving exercise.

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