The company is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact.
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The company Data Science team’s mission is to drive competitive value from data at scale by building AI models to optimize user experiences, decision-making, and operational efficiencies. As one of the tech leaders in this team, you will work with the top data science talent of the region.
What you'll do
- Collaborate in building a long-term vision of how we can rethink GenAI at the company.
- Drive exploratory analysis to understand the ecosystem and user behavior; identify new levers to help move metrics and build models of user behaviors for analysis and product enhancements using GenAI.
- Shape and influence models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
- Provide product leadership by sharing data-based recommendations to communicate the state of business, the root cause of change in metrics, and experimentation results, influencing product and business decisions.
- Implement a scalable machine learning GenAI solution that will be used in production on big data.
- Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
- Challenge the status quo and continually investigate new data processing technologies.
- Build and deploy retrieval augmented generation systems and other applications of large language models.
- Collaborate with cross-functional teams, including data scientists, product managers, and domain experts, to deliver AI-driven solutions.
What you'll need
- 4-6 years of experience in machine learning, software engineering, Big Data methodologies, and transformation of structured and unstructured data.
- Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering, or Computer Science.
- Strong understanding of transformer architectures, attention mechanisms, and recent advancements in Large Language Models (LLMs).
- Experience with advanced prompting techniques, including Chain of Thought (CoT) prompting, in-context learning, and few-shot learning.
- Proficiency in using LangChain and LangChain Expression Language (LCEL) for building workflows with LLMs.
- Experience in developing observable LLM-powered compound systems through tracing to monitor performance in production environments.
- Experience with PyTorch or TensorFlow.
- Knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and optimizing model performance.
- Experience with sequence-to-sequence models, self-supervised learning techniques, and understanding NLP concepts such as tokenization and parsing.
- Proficiency in creating scalable and maintainable APIs using FastAPI or similar frameworks.
- Strong understanding of good software engineering practices, including code versioning (e.g., Git), CI/CD pipelines, and automated testing.
- Experience with SQL and NoSQL databases for managing training data and model artifacts.
- Proficiency in Python, SQL, and familiarity with data processing frameworks like Spark and Hive.
Location
Dubai, United Arab Emirates
