Overview
Machine Learning Engineer – EMEA Jobs in Cairo, Egypt at NOK Human Capital
Title: Machine Learning Engineer – EMEA
Company: NOK Human Capital
Location: Cairo, Egypt
We are hiring a Machine Learning Engineer / Applied Scientist to develop and improve LLM-driven solutions across operational and automation workflows. The role will focus on fine-tuning models, building evaluation frameworks, and improving model accuracy for domain-specific use cases. You will work closely with engineering teams to integrate ML improvements into production environments and reduce hallucinations through grounded AI systems. This role is ideal for a hands-on ML professional who can own model quality, experimentation, and continuous improvement.
About us
NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.
Key Responsibilities
- Fine-tune and optimize Large Language Models for domain-specific tasks such as estimation, planning, and automation.
- Design and implement evaluation frameworks using automated metrics, human evaluation, and model-based assessment.
- Build and maintain RAG pipelines that ground model outputs in codebase, documentation, and operational data.
- Develop prompt engineering strategies and optimize prompt chains for multi-step AI workflows.
- Collaborate with software engineering teams to integrate model improvements into production services.
- Analyze model failure modes, identify accuracy gaps, and recommend targeted improvements.
- Establish baseline metrics, dashboards, and reporting to track model accuracy over time.
- Stay updated on LLM advancements and recommend relevant techniques for adoption.
Requirements
- MS or PhD in Computer Science, Machine Learning, NLP, Statistics, or a related quantitative field, or equivalent industry experience.
- 3+ years of hands-on experience with deep learning, NLP, and LLM techniques.
- 2+ years of experience fine-tuning language models.
- 2+ years of experience building end-to-end ML pipelines, including data preparation, training, evaluation, and deployment.
- Strong Python skills with experience in deep learning and transformer-based frameworks.
- Experience with model evaluation methodologies and metrics such as BLEU, ROUGE, accuracy, F1, and human evaluation.
- Hands-on experience with RAG architectures, vector databases, embedding models, and prompt engineering.
- Ability to work independently and deliver results with minimal supervision.
