Technical Recruiter (Remote)

Hired; Udine; Remoto; EUR 79.000 - 123.000; Tempo pieno

Descrizione del lavoro

Hired is building Zara, an AI-powered recruitment tool, with a focus on automating sourcing, screening, and candidate engagement. The role emphasizes deep ML/NLP expertise in a remote, globally distributed team.

You will design and deploy scalable AI systems, integrate with ATS and HR systems, and contribute to privacy and ethical AI standards in recruitment workflows.

Competenze

• Proficiency in Python with ML frameworks.
• Strong NLP background with spaCy or Hugging Face.
• Experience building scalable AI systems in production.
• Familiarity with cloud platforms and Docker.
• Knowledge of SQL/NoSQL databases.
• Understanding of ethical AI and bias mitigation.
• Experience with RESTful APIs and microservices.
• Background in data pipeline development and ETL.

Mansioni

• Design, implement, and optimize ML models to improve Zara's matching accuracy.
• Develop and maintain backend for NLP tasks like resume parsing and job description analysis.
• Integrate Zara with ATS, HR databases, and job platforms via APIs.
• Collaborate with data scientists to refine AI training data and evaluate metrics.
• Ensure privacy compliance and ethical AI standards in recruitment workflows.

Conoscenze

Python ML

NLP

ML/DL systems

REST APIs

Microservices

Ethical AI

Data pipelines

Communication

Strumenti

TensorFlow

PyTorch

spaCy

Hugging Face

Docker

AWS/GCP/Azure

SQL

NoSQL

REST

ETL

Descrizione del lavoro

• Role: Technical Recruiter (Remote)
• Location: Remote (Work from Anywhere)

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 AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology.

Equal Opportunity Employer

We 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.