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For Companies At a Glance
- Tasks: Lead AI transformation and enhance user engagement through innovative machine learning solutions.
- Company: Join a high-performing Data Science & MLE team in Dubai.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Shape the future of AI and make a real impact on user experiences.
- Qualifications: 7+ years in data science and AI, with expertise in personalization and deep learning.
- Other info: Work with cutting-edge technologies and collaborate with cross-functional teams.
The predicted salary is between 72000 - 108000 £ per year.
Join a high-performing Data Science & MLE team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future of personalization and user engagement using Generative AI and advanced machine learning.
Key Responsibilities
- Lead end-to-end AI transformation focused on personalization in a consumer-facing application.
- Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI.
- Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements.
- Design and deploy data/ML instrumentation to extract insights and optimize the product experience.
- Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses.
- Build and scale machine learning algorithms and pipelines to production using big data technologies.
- Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications.
- Design and evaluate A/B tests and communicate results across cross-functional teams.
- Define, implement, and monitor key performance metrics for AI-driven product features.
- Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization.
Requirements
- 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data.
- Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred).
- Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment).
- Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models).
- Hands-on experience with LLMs and GenAI technologies.
- Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive.
- Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design.
- Solid background in ranking, recommendation, and retrieval systems.
- Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.).
- Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy.
- Bonus: Experience with geospatial data and advanced analytics platforms.
Staff AI Engineer - GenAI (Dubai based) in City of London employer: oryxsearch.io
Contact Detail:
oryxsearch.io Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Engineer - GenAI (Dubai based) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to personalization and user engagement. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with deep learning architectures and A/B testing methodologies, as these are key in the AI field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Staff AI Engineer - GenAI (Dubai based) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI, machine learning, and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background aligns with our goals at StudySmarter. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any cool AI or machine learning projects, make sure to mention them! Whether it's personal projects or professional work, we love seeing what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at oryxsearch.io
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI and machine learning techniques. Be ready to discuss your experience with deep learning architectures and how you've applied them in real-world scenarios. This role is all about personalisation, so think of specific examples where you've enhanced user experiences using AI.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions that test your programming and problem-solving abilities. You might be asked to solve a coding challenge or explain your approach to building machine learning algorithms. Practise coding in Python and be familiar with SQL, Spark, and Hive, as these are crucial for the role.
✨Data-Driven Decision Making
Since the role involves providing strategic product guidance through data-driven recommendations, come prepared with examples of how you've used data analysis to inform product enhancements. Discuss any A/B testing you've conducted and how you communicated results to cross-functional teams.
✨Stay Current with Industry Trends
Demonstrate your passion for AI by staying updated on the latest advancements in the field. Be ready to discuss recent trends or technologies that excite you and how they could be applied to improve operational efficiency or user engagement in a consumer-facing application.
