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2 дня назад

Senior Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Malaysia
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 Data Scientist (AI/ML): Developing end-to-end analytic solutions and production-ready data science models for consumer intelligence with an accent on extreme multilabel classification and LLM fine-tuning. Focus on building scalable neural networks on GPU infrastructures and deploying them into live production pipelines.

Location: Hybrid in Kuala Lumpur, Malaysia

Company

hirify.global is a global consumer intelligence company providing comprehensive insights into consumer buying behavior using AI and Machine Learning.

What you will do

  • Build scalable, production-ready data science solutions using Tech & Durable Point-of-Sale data.
  • Develop, fine-tune, and deploy state-of-the-art neural networks for Extreme Multilabel Classification.
  • Collaborate with product managers, MLEs, and SREs to integrate models into live production pipelines.
  • Conduct research to drive the development of product-focused Data Science solutions.
  • Mentor junior team members and working students as a methodological expert.

Requirements

  • Degree in computer science, data science, statistics, or a related field.
  • 5+ years of experience in a Data Science role.
  • Expertise in developing and optimizing deep learning algorithms on GPU using PyTorch.
  • Experience fine-tuning LLMs (e.g., via HuggingFace).
  • Proven track record of shipping large-scale models to production.
  • Professional working proficiency in English.

Nice to have

  • Familiarity with scikit-learn or TensorFlow.
  • Experience with software engineering best practices (Agile, Scrum, Safe, version control).
  • Hands-on experience with GCP and productionizing models via REST APIs and containerization.

Culture & Benefits

  • Hybrid and flexible working environment.
  • Access to latest digital technologies and ongoing professional training.
  • Opportunities for personal and professional growth.
  • Employee-Assistance-Program (EAP) and LinkedIn Learning.
  • Volunteer time off.

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