At a Glance
- Tasks: Lead cutting-edge AI projects, focusing on LLMs and multimodal systems.
- Company: Join a discreet fund in the UAE, pioneering advancements in AI research.
- Benefits: Enjoy strong compensation and swift visa processes for relocation.
- Other info: Interview process consists of 4 concise stages.
- Why this job: Be at the forefront of AI innovation with a collaborative team and impactful projects.
- Qualifications: 5 years in AI/ML, expertise in LLMs, and advanced methodologies required.
The predicted salary is between 72000 - 108000 £ per year.
I am working with a discreet fund in the UAE, looking to hire a Senior AI Scientist into their AI Research team, focusing on LLMs, RAGs, Agent-based systems and multimodal AI.
Responsibilities:
- Lead the technical design and implementation of sophisticated LLM-based systems, including RAG, agent-based architectures, and multimodal AI solutions.
- Oversee the lifecycle of LLM projects, from model pre-training and fine-tuning to evaluation and deployment, ensuring alignment with advanced use cases.
- Conduct in-depth research into emerging LLM technologies, staying at the forefront of advancements in the field.
- Design and execute prompt engineering strategies for optimal LLM performance and usability.
- Collaborate with cross-functional teams and domain experts to ensure technical excellence and application relevance.
- Analyse model performance, identify improvement opportunities, and contribute to the development of industry-leading LLM practices.
Requirements:
- 5+ years of experience in AI/ML
- Exp. developing, fine-tuning, and deploying LLMs. Solving algo problems from end-to-end
- Exp. preparing data, then training models on GPUs
- Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models.
- Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face.
- Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT).
- Proven experience with reinforcement learning and PPO
- Master or Ph.D. in Computer Science, Applied Technology, or a related field from a leading institution.
- Notable achievements in AI research, such as high-ranking positions in industry leaderboards, publications in top conferences, contributions to industry standards etc.
Relocation : Compensation is strong and visa processes are swiftly handled
Interview Process - 4 concise stages
Senior AI Researcher - UAE Relocation employer: Durlston Partners
Join a leading fund in the UAE that champions innovation and excellence in AI research. As a Senior AI Researcher, you will thrive in a collaborative work culture that prioritises cutting-edge technology and employee growth, offering robust compensation and swift relocation processes. With opportunities to lead impactful projects and engage with top-tier professionals, this role promises a rewarding career path in a dynamic and supportive environment.
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We think this is how you could land Senior AI Researcher - UAE Relocation
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior AI Researcher - UAE Relocation
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Durlston Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Durlston Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Durlston Partners
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Durlston Partners!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
