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14 часов Π½Π°Π·Π°Π΄

AI Engineer

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Ireland
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

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TL;DR

AI Engineer (ML/Generative AI): Building and optimizing production AI systems for cybersecurity solutions with an accent on high-performance serving layers, robust ML pipelines, and scalable inference architectures. Focus on designing complex AI applications using modern AI tooling and owning the container strategy for Data Science.

Location: Hybrid in Dublin, Ireland

Company

hirify.global is an Exposure Management company helping 44,000 organizations globally understand and reduce cyber risk.

What you will do

  • Wrap models in high-performance serving layers (e.g., Fast API) for robust, testable production services.
  • Professionalise the AI lifecycle by implementing standard patterns for model versioning, experiment tracking, and reproducibility.
  • Leverage AWS services to build scalable inference architectures, working closely with SRE and CI/CD teams.
  • Design complex AI applications using modern AI tooling (e.g., LangGraph, AWS Bedrock, MCP Servers).
  • Own the container strategy for Data Science, building optimized Docker images and managing configuration.

Requirements

  • Strong proficiency in Python and frameworks like FastAPI for production-grade code.
  • Comfortable working with cloud-native architectures and securing services like SageMaker, ECS, or Lambda.
  • Fluent in Docker and modern CI/CD tooling, with ability to debug and monitor services in production.
  • Experience building applications on top of LLMs and understanding the ecosystem beyond basics.
  • Bachelor’s or Master's degree in Computer Science, AI, or equivalent engineering experience.
  • 3+ years of experience building Machine Learning or Generative AI applications in a professional environment.

Nice to have

  • Experience with Model Interchange formats (ONNX) and optimizing inference runtimes.
  • Experience with Snowflake.
  • Background in Cybersecurity or SaaS products.

Culture & Benefits

  • Partner with talented and passionate people in the industry.
  • Receive support and resources to do work that truly matters.
  • Join a culture of belonging, respect, and excellence.
  • Benefit from an inclusive environment committed to Equal Employment Opportunity (EEO).
  • Work in a team that values collaboration and winning together.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли вас просят Π²ΠΎΠΉΡ‚ΠΈ Π² 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†’