Senior AI Scientist - GenAI Job Snapshot
Role: Senior AI Scientist - GenAI
Location: Dubai, United Arab Emirates
Industry: Internet
Function: Biotech-R&D-Science
Experience: 5 years
Job Type: Full-time
Overview
Senior AI Scientist - GenAI in Dubai, United Arab Emirates is an Internet industry opportunity focused on machine learning, generative AI, data science, experimentation, and intelligent decision systems for a leading on-demand delivery and Q-commerce platform. This role is suited to an experienced AI and data science professional who can build production‑ready models, improve product and business decisions, and translate complex data into reliable, actionable insights. The position sits within the global AI hub and supports smarter decision‑making across product, business, customer experience, and operational domains. The selected candidate will own the full data value chain, including logging, data modeling, analysis, reporting, experimentation, machine learning development, and GenAI‑powered solutions that improve user experiences and business performance.
Job Details
- Country: United Arab Emirates
- City: Dubai
- Industry: Internet
- Function: Biotech-R&D-Science
- Salary: 40000-65000
- Gender: Any
- Candidate Nationality: Any
- Job Type: Full-time
Key Responsibilities
- Use data to turn ambiguous business and product problems into clear, measurable decision criteria.
- Design and implement machine learning, deep learning, recommendation, and generative AI systems that can operate in production environments.
- Apply suitable algorithms to complex business problems while keeping solutions practical, explainable, and business‑focused.
- Build deep understanding of assigned product areas, customer journeys, business processes, and performance drivers.
- Develop strong familiarity with source data, generating systems, logging structures, and data quality through documentation and engineering collaboration.
- Contribute to the design, improvement, and maintenance of data models that help measure performance and explain business outcomes.
- Work closely with product and business teams to define important questions that can be answered through data.
- Deliver reliable insights, automated reports, and practical recommendations that support better product and business decisions.
- Design, plan, and analyze A‑B tests, multivariate experiments, and other statistical testing workflows.
- Support product and business managers with KPI design, goal setting, performance measurement, and data interpretation.
- Build GenAI solutions for data enrichment, smart content understanding, automated decision‑making, and operational intelligence.
- Use product data such as impressions, events, conversion, engagement, and retention to identify growth and experience improvement opportunities.
- Mentor other data scientists and support their technical growth through review, guidance, and knowledge sharing.
- Improve team tooling, ways of working, internal training, and data science practices.
- Present analysis, model outcomes, and recommendations clearly to technical and non‑technical stakeholders.
Ideal Profile
- Bachelor's degree in Engineering, Computer Science, Technology, Data Science, or a similar field.
- Postgraduate degree is an advantage but not required.
- 5 years of experience in data science, machine learning, artificial intelligence, or generative AI.
- Strong experience with machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and AI‑based solutions.
- Deep knowledge of ML and GenAI frameworks such as Scikit‑learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, or LLM fine‑tuning.
- Excellent SQL skills for data exploration, validation, modeling, and analysis.
- Strong ability to perform reproducible data analysis using Python or R.
- Familiarity with data modeling, dimensional design, and the full data lifecycle.
- Strong understanding of descriptive, exploratory, inferential, causal, and predictive analysis.
- Deep knowledge of experiment design, statistical testing, and experiment analysis workflows.
- Experience with product data, product health metrics, conversion, engagement, retention, and customer behavior measurement.
- Experience with LLMs, NLP solutions, data enrichment, smart automation, BigQuery, Google Cloud Platform, or Airflow is an advantage.
- Experience in online consumer products or digital platform environments is preferred.
- Strong ownership mindset, clear communication skills, and a practical approach to solving problems.
Skills Set
- Machine learning
- Generative AI
- Data science
- Deep learning
- Recommendation systems
- Pattern recognition
- Data mining
- Artificial intelligence
- Scikit‑learn
- XGBoost
- LightGBM
- CatBoost
- SVMs
- Keras
- TensorFlow
- PyTorch
- Hugging Face Transformers
- LLM fine‑tuning
- SQL
- Python
- R
- Data modeling
- Dimensional design
- Product analytics
- A‑B testing
- Multivariate testing
- Statistical analysis
- Causal analysis
- Predictive analysis
- KPI design
- Automated reporting
- BigQuery
- Google Cloud Platform
- Airflow
- NLP
- Data enrichment
Why Join Us
This role offers the opportunity to work on high‑impact AI and data science initiatives that influence millions of customers, restaurant partners, local shops, and riders across a major regional delivery platform. It is a strong fit for an experienced AI scientist who wants to build practical GenAI and machine learning systems, improve product intelligence, and support smarter decisions across business and technology teams. Dubai, United Arab Emirates is a growing hub for Internet industry AI, product analytics, data science, cloud platforms, and digital commerce innovation. This position gives the selected candidate exposure to large‑scale product data, advanced experimentation, modern GenAI use cases, and business‑critical decision systems in a fast‑moving regional technology environment.