Technical Recruiter
Pubblicato il 15-09-2026 - Hired in Verona
- Role: Technical Recruiter (Remote)
- Location: Remote (Work from Anywhere)
Le interessa questa occasione? Si candidi in fretta, è previsto un elevato volume di candidature. Scorra verso il basso per leggere la descrizione completa.
Role Overview:
This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing, screening, and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions.
Key Responsibilities:
• Design, implement, and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency.
• Develop and maintain backend infrastructure supporting natural language processing 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.
Required Skills & Qualifications:
• Proficiency in Python, including experience with machine learning frameworks like TensorFlow or PyTorch.
• Strong background in natural language processing, including experience with libraries such as spaCy or Hugging Face.
• Experience building and deploying scalable AI systems in production environments.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.
• Knowledge of SQL and NoSQL databases for data extraction and integration.
• Understanding of ethical AI principles and bias mitigation techniques in recruitment systems.
• Experience with RESTful APIs and microservices architecture.
• Background in data pipeline development and ETL processes.
More About the Opportunity:
This role offers a unique opportunity to work on a cutting-edge