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5 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

Senior Staff / Staff Machine Learning Engineer (AI)

Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Singapore
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Senior Staff / Staff Machine Learning Engineer (AI): Building foundational language and vision models, GenAI agent systems, and end-to-end AI pipelines for complex eCommerce scenarios with an accent on LLM post-training, deployment, and multimodal machine learning. Focus on designing experiments, training and serving foundation models, analyzing large-scale data, and ensuring secure and compliant model development.

Location: Singapore, Singapore

Company

hirify.global is a large global public commerce company developing shopping, eating, and lifestyle services, with a startup-oriented culture.

What you will do

  • Develop GenAI and AI-agent systems for complex eCommerce scenarios.
  • Build large language, vision, predictive, and compound AI models.
  • Train foundational models and define end-to-end experiments and learning processes.
  • Build pipelines for storing and serving foundational models.
  • Mentor team members on data lakes, data normalization, dimension reduction, visualization, and statistical modeling.
  • Collaborate across teams to align knowledge capture and foundational models with the AI strategy while maintaining security and compliance.

Requirements

  • 5+ years of data science experience building 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 architecture.
  • Strong statistical and mathematical background in defining metrics, learning functions, and analyzing results.
  • 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.
  • Bachelor’s or master’s degree in computer science, mathematics, or a related field, plus strong communication and teamwork skills.

Culture & Benefits

  • Startup culture supported by the resources of a large global public company.
  • Opportunities to drive new initiatives and develop high-impact AI services.
  • Work focused on customer experience, innovation, and solving complex commerce problems.

Hiring process

  • Application review, phone interview, onsite or virtual onsite interview, and offer.
  • Interview scheduling and results are communicated by email.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’