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Technical Recruiter – AI-Powered Hiring Platform (Remote)

Hired

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

Job description

About the role

We are looking for a Technical Recruiter to lead the development of Zara, an AI-driven recruitment platform. In this fully remote, full-time position you will combine deep machine-learning expertise with talent-acquisition knowledge to automate sourcing, screening and candidate engagement for global clients.

Key responsibilities

  • Design, implement and fine-tune machine-learning models that improve candidate-matching accuracy.
  • Build and maintain backend services for natural-language processing of resumes and job descriptions.
  • Integrate Zara with applicant-tracking systems, HR databases and external job boards through robust APIs.
  • Collaborate with data-science and product teams to curate training data sets and evaluate model performance.
  • Ensure the platform complies with privacy laws and ethical AI standards, mitigating bias in recruitment workflows.
  • Develop scalable cloud infrastructure, containerised deployments and data pipelines for continuous delivery.

Required profile

  • Proven experience building and deploying production-grade AI or machine-learning systems.
  • Strong background in natural-language processing and familiarity with ethical AI principles.
  • Hands-on experience with cloud platforms (AWS, GCP or Azure) and containerisation (Docker).
  • Ability to work independently in a remote setting and collaborate across cross-functional teams.

Required skills

  • Python
  • TensorFlow or PyTorch
  • spaCy or Hugging Face libraries
  • SQL and NoSQL databases
  • RESTful API development
  • Microservices architecture
  • Docker
  • Cloud services (AWS, GCP, Azure)
  • Data pipeline and ETL processes

What we offer

  • Competitive compensation ranging from $160 K to $300 K per year.
  • Opportunity to shape a cutting-edge AI recruitment product used worldwide.
  • Fully remote work environment with flexible hours.
  • Collaborative team of data scientists, engineers and product leaders.

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Published 1 month ago

Expires 1 week from now

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