Note: The job is a remote job and is open to candidates in USA. Hired is seeking a Technical Recruiter to develop and refine Zara, an AI-powered recruitment tool. The role focuses on building machine learning models, backend infrastructure, integrations, and data pipelines while collaborating with cross-functional teams to deploy scalable, ethical recruitment solutions.
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
- 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
Benefits
- Remote (Work from Anywhere)
Company Overview
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