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For Companies 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.
- Why this job: Be at the forefront of AI innovation with a collaborative and dynamic team.
- Qualifications: 5+ years in AI/ML, expertise in LLMs, and advanced methodologies required.
- Other info: Interview process consists of 4 concise stages.
The predicted salary is between 72000 - 108000 £ per year.
Job Description
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
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Researcher - UAE Relocation
✨Tip Number 1
Make sure to showcase your experience with LLMs and related technologies during networking events or meetups. Engaging with professionals in the AI field can help you gain insights and potentially get referrals for the position.
✨Tip Number 2
Stay updated on the latest research and advancements in LLMs, RAGs, and agent-based systems. Being able to discuss recent papers or breakthroughs in your conversations will demonstrate your passion and expertise in the field.
✨Tip Number 3
Consider participating in online forums or communities focused on AI research. Sharing your knowledge and engaging in discussions can help you build a reputation and connect with others who might know about job openings.
✨Tip Number 4
Prepare for the interview by practising technical questions related to LLMs and their applications. Being well-versed in the latest methodologies and frameworks will give you an edge during the interview process.
We think you need these skills to ace Senior AI Researcher - UAE Relocation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML, particularly with LLMs and related technologies. Emphasise your achievements, such as publications or high-ranking positions in industry leaderboards, to stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI research and your specific interest in the role. Mention your relevant experience with RAGs, agent-based systems, and multimodal AI, and explain how you can contribute to the team.
Showcase Technical Skills: In your application, clearly outline your proficiency in frameworks like PyTorch, TensorFlow, and Hugging Face. Provide examples of projects where you've developed, fine-tuned, or deployed LLMs to demonstrate your expertise.
Highlight Collaborative Experience: Since the role involves collaboration with cross-functional teams, include examples of past teamwork in your application. Describe how you’ve worked with domain experts to achieve technical excellence and relevance in your projects.
How to prepare for a job interview at Durlston Partners
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with LLMs, RAGs, and agent-based systems in detail. Highlight specific projects where you led the design and implementation of these technologies, and be ready to explain your approach to model pre-training, fine-tuning, and deployment.
✨Stay Updated on Emerging Technologies
Demonstrate your commitment to staying at the forefront of AI advancements. Discuss recent papers or technologies that have influenced your work, and be ready to share your insights on how they could apply to the role you're interviewing for.
✨Prepare for Technical Challenges
Expect to face algorithmic problems during the interview. Brush up on your problem-solving skills and be ready to tackle questions related to model performance analysis, prompt engineering strategies, and the underlying mechanics of NLMs and MLMs.
✨Emphasise Collaboration Skills
Since the role involves working with cross-functional teams, be sure to highlight your experience collaborating with domain experts. Share examples of how you’ve successfully worked in teams to achieve technical excellence and relevance in your projects.
