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:
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Design, implement, and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency.
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Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis.
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Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs.
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Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics.
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Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows.Required Skills & Qualifications:
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Proficiency in Python,
including experience with machine learning frameworks like TensorFlow or PyTorch.
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Strong background in natural language processing, including experience with libraries such as spaCy or Hugging Face.
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Experience building and deploying scalable AI systems in production environments.
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Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.
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Knowledge of SQL and NoSQL databases for data extraction and integration.
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Understanding of ethical AI principles and bias mitigation techniques in recruitment systems.
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Experience with RESTful APIs and microservices architecture.
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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 technolo