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1 день назад

AI/ML Engineer (Python)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Английский
b2
Страна
UK/Spain/CR +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI/ML Engineer (Python/ML): Building and maintaining production ML and data science systems for a programmatic research marketplace with an accent on feasibility prediction and dynamic pricing. Focus on designing end-to-end production services, optimizing ML pipelines, and integrating LLMs into the platform.

Location: Must be based in Czechia, Spain, or the UK (Prague-first preference, but full remote possible).

Company

hirify.global is a pioneer in research technology (ResTech), operating the world's largest programmatic marketplace for research data.

What you will do

  • Build and maintain production ML systems, focusing on training pipelines and performance optimizations.
  • Own services end-to-end, from initial PoC to functional cloud deployment.
  • Collaborate with Product Managers and Data Scientists to translate business questions into shippable ML.
  • Analyze platform data and metrics using Databricks and AWS to drive decision-making.
  • Review code and ML-specific standards, including evaluation metrics and model documentation.
  • Utilize modern AI-native tooling and agentic programming to accelerate development.

Requirements

  • Excellent programming skills and proficiency in Python.
  • Knowledge of traditional machine learning techniques such as SVM and gradient boosting.
  • Understanding of LLM architecture, with experience in fine-tuning (e.g., LoRA, distillation) as a plus.
  • Proficiency in SQL; experience with Databricks and AWS.
  • Strong foundation in mathematics, probability, statistics, and algorithms.
  • Proven professional experience as an AI/ML Engineer.

Culture & Benefits

  • Flexible work options: Prague office (Pankrác) or full remote from Spain or the UK.
  • 25 days of vacation and unlimited sick days.
  • Financial perks including pension fund contributions and Edenred meal vouchers.
  • AI-native engineering environment utilizing tools like Claude Code for productivity.
  • Modern tech stack including FastAPI, Docker, Kubernetes, and GitHub.
  • Company-provided hardware (Mac/Win/Linux) and ergonomic office equipment.

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