Technical Recruiter (Remote)
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Key skills for this role
About the Role
The employer is seeking a Technical Recruiter to develop and refine an AI-powered recruitment tool named Zara. The role involves designing machine learning models, building backend infrastructure, and integrating with HR systems.
Key Skills for This Role
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
Requirements
- 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
Full Job Posting
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 hiring bias and improving talent acquisition efficiency through technology.
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