Technical Recruiter

19 ago - Italia
Quik Hire Staffing

- Role
: Technical Recruiter (Remote)
- Location
: Remote (Work from Anywhere)
- Job Type
: Full-Time
- Payout
: $160K - $300K/yr

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:

• 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 hi

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