Engineering Manager - Applied AI

Location: Dubai, UAE

Company

hirify.global is an on-demand food and Q-commerce platform serving customers, restaurants, local shops, and riders across eight countries in the MENA region.

What you will do

• Lead, grow, and retain a team of data scientists while supporting career development, recruiting, mentoring, and effective team rituals.
• Translate ambiguous business problems into measurable ML and AI solutions and own the technical roadmap across data enrichment, automation, self-serve tools, and agentic product features.
• Establish harness-first development with evaluation pipelines, golden datasets, LLM observability, tooling, and production feedback loops.
• Oversee the ML lifecycle from data pipelines, feature engineering, and model training through deployment, serving, and monitoring.
• Drive the use of LLMs and generative AI for data enrichment, content understanding, automated decision-making, and intelligent experiences at scale.
• Partner with product, business, and engineering stakeholders to identify opportunities, integrate reliable ML systems, and communicate results and recommendations.

Requirements

• Deep expertise in machine learning, generative AI, deep learning, NLP, recommendation systems, and data mining.
• Hands-on experience with Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Transformers, and LLM fine-tuning.
• Proficiency with the OpenAI SDK and major LLM provider APIs; hands-on experience with LangGraph for stateful, multi-step agentic workflows.
• Experience with Hugging Face, embeddings, dense and sparse retrieval, vector databases, semantic search, and RAG pipelines.
• Strong software engineering, ML system design, MLOps, production model deployment and monitoring, data pipelines, and feature engineering skills.
• Excellent SQL and Python, with solid foundations in statistics, experiment design, causal inference, and predictive methods.
• Bachelor’s degree in Engineering, Computer Science, or a related field.
• 6+ years of experience in data science, ML engineering, and/or generative AI, including shipping models to production, plus 2+ years managing or leading a data science or ML team.

Nice to have

• Familiarity with agentic system design, harness-first thinking, LLM observability, evaluation pipelines, and production feedback loops.
• Experience with BigQuery and Google Cloud Platform.
• Postgraduate degree.
• Experience building ML systems in an online consumer product environment.

Culture & Benefits

• Work in a high-performance culture focused on ownership, curiosity, practical experimentation, simplicity, and comfort with ambiguity.
• Success is evaluated through both results and leadership behaviors.
• Additional compensation may include benefits, equity, and/or variable bonuses for predefined roles.