Technical Recruiter; Remote
UAE/Dubai
Listed on 2026-09-16
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
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.
Skills & Qualifications
- Proficiency in Python, including experience with machine learning frameworks like Tensor Flow 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 No
SQL 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.
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 EmployerWe 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.
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