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AI Research Engineer (Fine-tuning)

Unlock employer Dubai, United Arab Emirates Posted: 11 Nov 2025

Financial

  • Estimate: $90k - $130k*
  • Zero income tax location

Accessibility

  • Fully Remote
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

Join the company and shape the future of digital finance! The company is at the forefront of a global financial revolution, building products that empower various businesses with reserve-backed tokens across blockchains. We pride ourselves on innovation and transparency, working with cutting-edge solutions to redefine global finance.

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As a member of the AI model team, you will be responsible for innovating supervised fine-tuning methodologies for advanced models. Your work will enhance pre-trained models, improving intelligence, performance, and domain-specific capabilities to address real-world challenges. You will work on a range of systems from efficient models suitable for limited hardware to complex multi-modal architectures integrating diverse data types such as text, images, and audio.

We are looking for someone with deep expertise in large language model architectures and substantial experience in fine-tuning optimization. You will be involved in developing, testing, and implementing new techniques and algorithms in a hands-on, research-driven manner. Responsibilities also include curating specialized data, optimizing performance, and removing bottlenecks in the fine-tuning process to unlock superior AI performance.

Responsibilities:

  • Develop and implement state-of-the-art fine-tuning methodologies for pre-trained models.
  • Conduct and monitor controlled fine-tuning experiments, tracking key performance indicators.
  • Identify and curate high-quality datasets tailored to specific domains.
  • Systematically debug the fine-tuning process by analyzing performance metrics.
  • Collaborate with cross-functional teams to deploy fine-tuned models into production, defining success metrics and ensuring continuous improvement.

Requirements:

  • A degree in Computer Science or a related field; ideally a PhD in NLP, Machine Learning, or similar, with a strong track record in AI R&D.
  • Hands-on experience in large-scale fine-tuning experiments, demonstrating measurable improvements in model performance.
  • Deep understanding of advanced fine-tuning methodologies, especially with transformer architectures.
  • Strong expertise in PyTorch and Hugging Face libraries.
  • Demonstrated ability to apply empirical research and overcome fine-tuning bottlenecks.

Language Requirements: Excellent communication skills in English.

Be part of a talented global team and contribute to one of the most innovative platforms in fintech!

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