Hiring: Technical Recruiter (Remote) Company: Hired Location: United States Job Posted Time: 2026-09-12 10:14:57 Employment Type: Remote Target Skills & Keywords : AWS, Azure, Data Pipeline, Docker, ETL, GCP, Hugging Face, Machine Learning, Microservices, NLP, PyTorch, Python, REST, RESTful, SQL, TensorFlow, spaCy About the job Required Skills: •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. •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. •Partner cross-functionally 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. •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. 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. •Operational 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. •Background in data pipeline development and ETL processes. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!