technical recruiter for AI recruitment

The company develops Zara, an AI-powered recruitment tool that automates candidate sourcing, screening, and engagement. The system is used by organizations worldwide to reduce hiring bias and improve talent acquisition efficiency through technology.

• 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.

• 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 such as AWS, GCP, or Azure;
• Experience with 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.

• $160K - $300K/yr.