This job is no longer available
This job expired on 24/09/2026. It no longer accepts applications.
Technical Recruiter – AI Hiring Tool (Remote)
Hired
Job description
About the role
This role focuses on developing and refining an AI‑powered recruitment tool, Zara, to automate candidate sourcing, screening, and engagement. You will apply deep machine‑learning expertise while collaborating with cross‑functional teams to deliver 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 profile
- Proven experience building and deploying scalable AI systems in production.
- Strong background in natural language processing and machine learning.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker).
- Knowledge of SQL and NoSQL databases for data extraction and integration.
- Understanding of ethical AI principles and bias mitigation techniques in recruitment.
- Experience with RESTful APIs and microservices architecture.
- Ability to work remotely and collaborate with cross‑functional teams.
Required skills
- Python
- TensorFlow or PyTorch
- spaCy or Hugging Face
- AWS / GCP / Azure
- Docker
- SQL
- NoSQL databases
- RESTful APIs
- Microservices architecture
- Data pipeline development and ETL processes
What we offer
- Competitive salary $160,000–$300,000 per year.
- Fully remote work (work from anywhere).
- Opportunity to shape a cutting‑edge AI recruitment platform used globally.
- Collaborative environment with data scientists and product teams.
- Commitment to ethical AI and reducing hiring bias.
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