A technology company building cutting-edge AI recruitment infrastructure is seeking a highly skilled Technical Recruiter — AI Engineer to develop and refine Zara — an AI-powered recruitment tool that automates candidate sourcing, screening, and engagement processes — on a full-time, fully remote basis from the UAE, with a salary of $160,000 to $300,000 per year. This technically demanding role requires deep expertise in machine learning, natural language processing, Python, TensorFlow, PyTorch, spaCy, HuggingFace, and production AI system deployment — designing ML models that improve Zara’s candidate matching accuracy, building NLP infrastructure for resume parsing and job description analysis, and integrating Zara with ATS platforms, HR databases, and third-party job platforms via APIs.
About Zara — The AI-Powered Recruitment System
Product: Zara — an AI-powered recruitment tool automating candidate sourcing, screening, and engagement processes for organisations worldwide
Mission: Reducing hiring bias and improving talent acquisition efficiency through AI technology — making recruitment fairer, faster, and more accurate
Technical Core: Machine learning candidate matching, NLP resume parsing, job description analysis, ATS integration, and ethical AI bias mitigation in recruitment workflows
Scale: Used by organisations worldwide — a globally deployed AI recruitment platform requiring production-grade ML engineering at enterprise scale
Why This Technical Recruiter AI Engineer Role Stands Out
$160K–$300K Exceptional Salary: Among the very highest compensation packages available to remote UAE-based AI engineers in 2026 — reflecting the rare combination of ML expertise and NLP depth required
Meaningful AI Impact: Build AI that reduces hiring bias and makes talent acquisition fairer for candidates worldwide — working on a product with genuine positive social impact at global scale
Full ML Lifecycle Ownership: Model design, NLP pipeline development, ATS integration, API architecture, data pipeline engineering, cloud deployment, and ethical AI compliance — complete technical ownership
Remote-First Global Platform: Fully remote, full-time — contributing to an AI recruitment product used by organisations across the world, from the UAE or anywhere globally
Position Overview
This Technical Recruiter — AI Engineer designs, implements, and optimises machine learning models to improve Zara’s candidate matching accuracy and efficiency, develops and maintains backend NLP infrastructure for resume parsing and job description analysis, integrates Zara with applicant tracking systems, HR databases, and third-party job platforms via RESTful APIs, collaborates with data scientists and product teams to refine AI training datasets and evaluate model performance metrics, ensures compliance with privacy regulations and ethical AI standards in recruitment workflows, builds and deploys scalable AI systems in production cloud environments using AWS, GCP, or Azure, and develops data pipelines and ETL processes that feed the ML models and evaluation systems powering Zara’s global recruitment automation capability.
Why This Role Matters: As Technical Recruiter — AI Engineer building Zara from the UAE, you engineer the AI system that determines whether a human being gets called for a job interview — or does not. When your candidate matching model surfaces a qualified candidate a biased keyword search would have missed, your NLP resume parser correctly interprets an unconventional career path, or your bias mitigation approach prevents a historical pattern from being encoded into a new model — you are not just improving software. You are improving the fairness of opportunity for real people across every organisation that uses Zara worldwide. At $160K–$300K remotely, this salary reflects both the technical depth required and the genuine importance of doing it right.
Key Responsibilities
ML Model Design, Candidate Matching & NLP Infrastructure
- Design, implement, and optimise machine learning models to improve Zara’s candidate matching accuracy and efficiency — applying gradient boosting, neural networks, and embedding-based matching approaches to recruitment data
- Develop and maintain backend NLP infrastructure supporting natural language processing for resume parsing and job description analysis — using spaCy, HuggingFace Transformers, and custom-trained language models
- Apply state-of-the-art NLP techniques to extract structured information from unstructured resume and job description text — enabling Zara to accurately interpret candidate qualifications across diverse writing styles and formats
ATS Integration, API Development & Production Deployment
- Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via RESTful APIs — building robust, reliable, and well-documented API integrations that work at scale across diverse client environments
- Build and deploy scalable AI systems in production cloud environments — AWS, GCP, or Azure — using containerisation tools including Docker and CI/CD pipeline automation
- Design and develop data pipelines and ETL processes — ensuring clean, consistent, and ML-ready data flows across Zara’s training, evaluation, and inference infrastructure
- Build and maintain microservices architecture — separating Zara’s AI capabilities into modular, independently deployable services that scale with client demand
Ethical AI, Bias Mitigation & Cross-Team Collaboration
- Ensure compliance with privacy regulations and ethical AI standards in all recruitment workflow components — building bias detection, fairness evaluation, and mitigation techniques directly into Zara’s model development and deployment pipeline
- Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics — contributing to continuous improvement of Zara’s matching and screening accuracy
- Apply SQL and NoSQL database expertise for data extraction, integration, and management — ensuring data quality across Zara’s training pipelines, evaluation systems, and production databases
- Contribute to technical documentation, engineering standards, and AI development best practices across the Zara product engineering team
Required Skills & Qualifications
Essential Requirements
- Proficiency in Python — including hands-on experience with machine learning frameworks TensorFlow and/or PyTorch in production environments
- Strong background in natural language processing — with experience using NLP libraries including spaCy and/or HuggingFace Transformers for text extraction, classification, and information retrieval
- Experience building and deploying scalable AI systems in production environments — from development through containerisation, deployment, and ongoing monitoring
- Familiarity with cloud platforms — AWS, GCP, or Azure — and containerisation tools including Docker for production AI system deployment
- Knowledge of SQL and NoSQL databases for data extraction, integration, and pipeline management
- Understanding of ethical AI principles and bias mitigation techniques — particularly as applied to AI systems operating in high-stakes decision-making contexts such as recruitment
- Experience with RESTful APIs and microservices architecture — building integrations between AI systems and third-party platforms
- Background in data pipeline development and ETL processes — ensuring clean, reliable data flows for ML training and inference
About This Role — Building Fairer AI Recruitment at Global Scale
Zara is an AI-powered recruitment tool used by organisations worldwide to automate candidate sourcing, screening, and engagement — with a mission to reduce hiring bias and improve talent acquisition efficiency through technology. As Technical Recruiter — AI Engineer building Zara’s machine learning, NLP, and API infrastructure from the UAE, you combine advanced Python engineering, production NLP expertise, cloud deployment skills, and a genuine commitment to ethical AI to build a recruitment system that thousands of employers and millions of candidates will interact with. At $160,000–$300,000 per year fully remote, this role offers the UAE’s most competitive AI engineering compensation for the rare combination of ML depth, NLP expertise, and ethical AI commitment that Zara’s global mission demands.
Career Excellence: Engineer Zara’s AI candidate matching, NLP resume parsing, and ethical bias mitigation — $160K–$300K, fully remote from UAE.
Who Should Apply?
- ML Engineers — Production NLP & Matching Systems: With Python, TensorFlow/PyTorch, and spaCy/HuggingFace experience — building NLP-powered text extraction, entity recognition, and candidate matching systems in production
- AI Systems Engineers — Ethical AI Focus: With bias detection, fairness evaluation, and mitigation technique experience — committed to building AI recruitment systems that reduce rather than reproduce historical hiring patterns
- Cloud-Native AI Engineers — AWS/GCP/Azure + Docker: With scalable production AI system deployment, containerisation, and microservices experience — able to build Zara’s global infrastructure reliably and efficiently
- API & Integration Engineers — HR Tech: With RESTful API development and ATS/HR platform integration experience — comfortable building the connections between Zara and the recruitment technology ecosystem
- Remote UAE-Based AI Engineers — $160K–$300K: Seeking a premium full-time remote salary for senior ML/NLP engineering work — contributing to an AI recruitment platform that genuinely improves how organisations find and evaluate talent
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