Technical Recruiter (Remote)

Hired; France; Sur place; EUR 70 000 - 120 000; Plein temps

Résumé du poste

Hired is seeking a senior AI/ML engineer to lead the development of Zara, an AI-powered recruitment tool that automates candidate sourcing, screening, and engagement. You will design advanced ML models to improve matching accuracy and collaborate with cross-functional teams to deploy scalable solutions.

You will build backend NLP infrastructure for resume parsing and job description analysis, and integrate Zara with ATS, HR databases, and third-party job platforms via APIs.

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow or PyTorch).
• Strong NLP background with libraries like spaCy or Hugging Face.
• Experience building and deploying scalable AI systems in production.
• Familiarity with cloud platforms (AWS, GCP, Azure) and Docker.
• Knowledge of SQL and NoSQL databases for data extraction and integration.
• Understanding ethical AI principles and bias mitigation in recruitment.
• Experience with RESTful APIs and microservices architecture.
• Data pipeline development and ETL processes.

Responsabilités

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

Connaissances

Python

TensorFlow

PyTorch

NLP

spaCy

Hugging Face

Cloud platforms

Docker

SQL

NoSQL

Ethical AI

RESTful APIs

Microservices

ETL

Outils

AWS

GCP

Azure

Description du poste

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.