Remote Tech Recruiter for AI Hiring Platform

Hired; Torino; Remoto; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Hired is hiring a Technical Recruiter for a fully remote role focused on Zara, an AI-powered recruitment tool that automates sourcing, screening, and candidate engagement. The role collaborates closely with data scientists and product teams to deploy scalable AI solutions and continually refine models.

Ideal candidates have strong Python and NLP expertise, plus experience deploying AI systems in production, cloud proficiency, and a commitment to privacy and unbiased hiring practices.

Competenze

• Proficiency in Python and ML frameworks.
• Experience with NLP libraries spaCy or Hugging Face.
• Experience deploying scalable AI systems in production.
• Familiarity with cloud platforms and Docker.
• Experience with RESTful APIs and microservices.
• Understanding of ethical AI and bias mitigation.
• Experience with SQL/NoSQL and data integration.
• Strong collaboration with data scientists and product teams.

Mansioni

• Design, implement, and optimize ML models to improve Zara’s candidate matching accuracy and efficiency.
• Develop and maintain backend infrastructure supporting NLP for resume parsing and job description analysis.
• Integrate Zara with applicant tracking systems, HR databases, and third‑party job platforms via APIs.
• Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics.
• Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows.

Conoscenze

Python

NLP

AI bias mitigation

APIs & microservices

ETL pipelines

Ethical AI

Team collaboration

Formazione

Bachelor's degree in CS or related

Strumenti

TensorFlow

PyTorch

spaCy

Hugging Face

AWS / GCP / Azure

Docker

SQL

NoSQL

Descrizione del lavoro

Hired is hiring a Technical Recruiter for a fully remote role focused on Zara, an AI-powered recruitment tool that automates sourcing, screening, and candidate engagement. The role collaborates closely with data scientists and product teams to deploy scalable AI solutions and continually refine models.

Ideal candidates have strong Python and NLP expertise, plus experience deploying AI systems in production, cloud proficiency, and a commitment to privacy and unbiased hiring practices.