Technical Recruiter

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.