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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, 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 behaviour 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 England 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 England
✨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 role of Staff AI Engineer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Staff AI Engineer role. Highlight your expertise in AI, machine learning, and any relevant projects you've worked on that showcase your ability to drive user engagement and personalization.
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 makes you a perfect fit for our team. Be sure to mention specific experiences that relate to the key responsibilities outlined in the job description.
Showcase Your Technical Skills: Since this role requires strong programming and problem-solving skills, don’t shy away from detailing your proficiency in Python, SQL, and any big data technologies you've used. We want to see how you’ve applied these skills in real-world scenarios!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at oryxsearch.io
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially around Generative AI. Be ready to discuss your past projects and how they relate to personalization and user engagement. This shows you're not just knowledgeable but also passionate about the field.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help interviewers see your thought process and how you approach challenges.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI strategy, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
✨Demonstrate Your Technical Skills
Be ready to dive into technical discussions or even coding challenges. Brush up on Python, SQL, and any relevant big data technologies. If you have experience with A/B testing or ML algorithms, be prepared to discuss those in detail.
