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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
