Applied AI Manager (AI)

Location: Dubai, UAE

Company

hirify.global is an on-demand food and Q-commerce platform operating across eight countries in the region, using technology to support customers, restaurants, local shops, and riders.

What you will do

• Lead, grow, and retain a team of data scientists while supporting recruitment, mentoring, career development, and effective team rituals.
• Translate ambiguous business problems into measurable ML and AI solutions and own the technical roadmap across data enrichment, business automation, self-serve tools, and agentic product features.
• Establish evaluation pipelines, golden datasets, LLM observability, tooling, infrastructure, and production feedback loops using a harness-first approach.
• Oversee data pipelines, feature engineering, model training, deployment, serving, monitoring, and MLOps standards.
• Drive LLM and generative AI adoption, design A/B and multivariate experiments, and measure model and product impact.
• Partner with product, business, and engineering stakeholders to identify AI opportunities, build reliable data models, and integrate systems into production.

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, LLM fine-tuning, the OpenAI SDK, and major LLM provider APIs.
• Hands-on experience with LangGraph for stateful, multi-step agentic workflows and complex agent orchestration.
• Experience with Hugging Face for model sourcing, fine-tuning, and deployment, plus embeddings, dense and sparse retrieval, vector databases, semantic search, and RAG pipelines.
• Strong software engineering fundamentals, including clean production code, data structures and algorithms, and ML system design.
• Proven experience shipping and monitoring ML models in production, with strong MLOps, data pipeline, orchestration, and feature engineering skills.
• Excellent SQL and Python, with statistical foundations in 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 an Applied AI Tribe focused on measurable Net AI Value Delivered and shipping AI products at scale.
• Culture emphasizes curiosity, ownership of cost and latency, bias to build, comfort with ambiguity, and simple solutions.
• High-performance environment focused on craft, talent development, and leadership principles.
• Total compensation may include benefits, equity, and variable bonuses for predefined roles.