Назад
Company hidden
14 дней назад

Data Scientist (Agentic 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
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Scientist (Agentic AI) (Python/Azure ML): Architecting and scaling an open-source agentic AI framework for autonomous systems with an accent on intelligent agent development, distributed architectures, and enterprise transformation. Focus on designing microservice ecosystems, rapidly deploying self-improving agents, and contributing to open-source and academic research.

Location: Singapore, South West, Singapore

Company

hirify.global runs and reimagines mission-critical technology systems for leading businesses, using AI-powered insight to support smarter decisions and innovation.

What you will do

  • Identify business transformation opportunities and solve real-world problems using agentic AI.
  • Translate business needs into data science problems, then rapidly experiment, build, and deploy scalable solutions.
  • Develop, train, and deploy intelligent agents using Python and Azure ML.
  • Architect and co-own a modular open-source agentic AI framework integrating generative AI and real-world tools.
  • Collaborate through rapid demos, peer pairing, framework rollouts, customer interaction, and strategic technical work.
  • Mentor researchers and developers, supervise industrial PhD work, and contribute to whitepapers and technical publications.

Requirements

  • PhD or equivalent research experience in computer science, mathematics, AI, or a related field.
  • Hands-on experience building or contributing to agentic AI frameworks rather than only using APIs.
  • Strong Python programming skills and architectural design experience with microservice ecosystems and message brokers.
  • Ability to work independently and collaborate in a high-trust, low-hierarchy environment.
  • Contributions to academic or technical communities and open-source projects.

Nice to have

  • Certifications in Azure, AWS, or Google machine learning platforms.
  • Contributions to graph theory, DevOps, or distributed systems.
  • Experience with digital transformation, AI-native product development, or enterprise automation.
  • Authorship, publication, or presentation in academic or whitepaper communities.

Culture & Benefits

  • Full-time role in a flexible, hybrid-friendly work culture.
  • Support for financial, mental, physical, and social well-being through Be Well programs.
  • Personalized career development, continuous feedback, coaching, and hands-on learning.
  • Access to certifications and learning opportunities from Microsoft, Google, and Amazon.
  • Inclusive environment focused on belonging, empathy, continuous learning, and shared success.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →