Technical Recruiter (Remote)
Pubblicato il 30-09-2026 - Hired in Italia
pul libRole: /bTechnical Recruiter (Remote) /li libLocation: /b Remote (Work from Anywhere) /li /ul h3Role Overview: /h3 pThis 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. /p h3Key Responsibilities: /h3 ul liDesign, implement, and optimize machine learning models to improve Zara's candidate matching accuracy and efficiency. /li liDevelop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis. /li liIntegrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs. /li liCollaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics. /li liEnsure compliance with privacy regulations and ethical AI standards in recruitment workflows. /li /ul h3Required Skills Qualifications: /h3 ul liProficiency in Python, including experience with machine learning frameworks like TensorFlow or PyTorch. /li liStrong background in natural language processing,
including experience with libraries such as spaCy or Hugging Face. /li liExperience building and deploying scalable AI systems in production environments. /li liFamiliarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker. /li liKnowledge of SQL and NoSQL databases for data extraction and integration. /li liUnderstanding of ethical AI principles and bias mitigation techniques in recruitment systems. /li liExperience with RESTful APIs and microservices architecture. /li liBackground in data pipeline development and ETL processes. /li /ul h3More About the Opportunity: /h3 pThis role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology. /p h3Equal Opportunity Employer: /h3 pWe hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. /p /p #J-18808-Ljbffr