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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, driving AI advancements.
- 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, advanced degree preferred, and expertise in AI technologies.
- Other info: Work with cutting-edge tools 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 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 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 hot topics in the field right now.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Staff AI Engineer - GenAI (Dubai based) in 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 explain why you're passionate about AI and how your background aligns with our goals at StudySmarter. Keep it engaging and personal – we love to see 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 a personal project or something from your previous job, we want to see your hands-on experience and creativity in action.
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at oryxsearch.io
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially around Generative AI. Be ready to discuss your experience with deep learning architectures and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems using data science and machine learning. Highlight your hands-on experience with Python, SQL, and big data technologies, as well as any successful projects you've led.
✨Understand Personalisation Strategies
Since personalisation is key for this role, think about how you've previously defined and executed customer engagement strategies. Be ready to discuss your approach to A/B testing and how you've used data-driven insights to enhance user experiences.
✨Communicate Clearly
Practice explaining complex technical concepts in a way that's easy to understand. You'll likely be working with cross-functional teams, so being able to communicate your ideas clearly will be crucial for success.
