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Senior Staff / Staff Machine Learning Engineer (AI/LLM)

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

Текст:
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TL;DR
Senior Staff / Staff Machine Learning Engineer (AI/LLM): Building foundational, language, vision, and compound AI models and end-to-end pipelines for complex eCommerce scenarios with an accent on GenAI, AI agents, NLP, and large-scale machine learning. Focus on training and deploying foundation models, designing experiments and inference platforms, and ensuring security and compliance across model development.

Location: Singapore, Singapore

Company

hirify.global is a large global public commerce company combining startup culture with large-scale resources to build high-tech shopping, eating, and lifestyle services.

What you will do

  • Develop GenAI and AI-agent systems for complex eCommerce scenarios.
  • Build and train large language, vision, foundational, and compound AI models.
  • Define experiments and processes for end-to-end foundation models.
  • Build pipelines for storing and serving foundational models.
  • Mentor engineers on data lakes, normalization, dimensionality reduction, visualization, and statistical modeling.
  • Collaborate across teams to align knowledge capture and foundational models with the AI strategy while ensuring security and compliance.

Requirements

  • 5+ years of data science experience, including large-scale foundational models for eCommerce.
  • Expertise in large language model post-training and deployment, with a deep understanding of AI, LLM, AIGC, and ML architectures.
  • Strong statistical and mathematical background in metrics, learning functions, and result analysis.
  • Significant experience with SQL, Python, PySpark, Scala, R, PyTorch or TensorFlow, Spark, and BigQuery.
  • Experience with cloud analytical stacks, data lakes, warehouses, ETL pipelines, and inference platforms in AWS, Azure, or open-source environments.
  • B.S. or M.S. in Computer Science, Mathematics, or a related field, plus strong communication and teamwork skills.

Culture & Benefits

  • Startup culture backed by the resources of a large global public company.
  • Opportunity to work on AI, NLP, AIGC, ML, LLM, reinforcement learning, knowledge graphs, and multimodal models.
  • Entrepreneurial environment focused on customer impact, innovation, and hands-on ownership.

Hiring process

  • Application review, phone interview, and onsite or virtual onsite interview.
  • Offer follows the interview process; scheduling and process details may vary by role.

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