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This job expired on 23/09/2026. It no longer accepts applications.

Technical Recruiter – AI Hiring Platform (Remote)

Hired

Remote
Remote 🇬🇧 English
Python TensorFlow PyTorch spaCy Hugging Face AWS GCP Azure Docker SQL NoSQL RESTful APIs microservices ETL

Job description

About the role

This position focuses on developing and refining an AI‑powered recruitment tool, Zara, to automate candidate sourcing, screening, and engagement. You will work remotely, collaborating with cross‑functional teams to deliver scalable machine‑learning solutions that enhance hiring efficiency.

Key responsibilities

  • Design, implement, and optimise machine‑learning models to improve candidate matching accuracy.
  • Develop and maintain backend infrastructure for natural‑language processing, including resume parsing and job description analysis.
  • Integrate Zara with applicant tracking systems, HR databases, and third‑party job platforms via RESTful APIs.
  • Collaborate with data scientists and product teams to refine training datasets and evaluate model performance.
  • Ensure compliance with privacy regulations and ethical AI standards throughout recruitment workflows.

Required profile

  • Proven experience building and deploying scalable AI systems in production.
  • Strong background in natural‑language processing and machine‑learning model development.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker).
  • Understanding of ethical AI principles and bias mitigation in recruitment.
  • Experience with data pipeline development and ETL processes.

Required skills

  • Python
  • TensorFlow or PyTorch
  • spaCy or Hugging Face
  • AWS, GCP, or Azure
  • Docker
  • SQL and NoSQL databases
  • RESTful APIs and microservices architecture
  • ETL and data pipeline tools

What we offer

  • Opportunity to work on a cutting‑edge AI recruitment platform used globally.
  • Remote work from anywhere with a competitive compensation package.
  • Contribution to reducing hiring bias and improving talent acquisition efficiency.

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Published 1 month ago

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