Technical Recruiter (Remote)

Hired; South Africa; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

Hired is seeking an AI/ML engineer to develop Zara, an AI-powered recruitment tool that automates candidate sourcing, screening, and engagement. You will design models, build scalable backend, and collaborate with cross-functional teams to deploy robust solutions.

You will work on NLP for resume parsing, API integrations with ATS, cloud deployment, and bias mitigation to improve hiring fairness. The role emphasizes privacy, production-grade systems, and ethical AI practices across recruitment

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow or PyTorch).
• NLP expertise with spaCy or Hugging Face.
• Experience deploying scalable AI systems in production.
• Familiarity with cloud platforms and Docker.
• Knowledge of SQL and NoSQL databases.
• Understanding ethical AI and bias mitigation in recruitment.
• Experience with RESTful APIs and microservices.
• Data pipeline development and ETL processes.

Responsibilities

• Design and optimize ML models to improve Zara's candidate matching.
• Develop backend for NLP-based resume parsing and job analysis.
• Integrate Zara with ATS, HR databases, and third-party platforms via APIs.
• Collaborate with data scientists to refine training datasets and metrics.
• Ensure privacy and ethical AI standards in recruitment workflows.

Skills

Python programming

Machine Learning

Natural Language Processing

RESTful APIs

Data pipelines/ETL

Tools

TensorFlow

PyTorch

spaCy

Hugging Face

Docker

AWS

GCP

Azure

SQL

NoSQL

Job description

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.

Equal Opportunity Employer

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.