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Senior Data Scientist

Unlock employer Abu Dhabi, United Arab Emirates Posted: 22 Jun 2026

Financial

  • Estimate: $100k - $150k*
  • Zero income tax location

Accessibility

  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About
The company is seeking a highly skilled professional to design, develop, and deploy advanced computer vision, multimodal AI, and vision-language systems across a wide range of real-world applications. You will work on large-scale AI platforms that process visual, textual, and multimodal data, enabling intelligent automation, perception, and decision-making.

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Responsibilities

  • End-to-end ML/DL model development: data collection, annotation, EDA, preprocessing, training, evaluation, deployment
  • Build computer vision models: multi-object tracking, video understanding, behavior analysis
  • Develop multimodal AI (vision + language), including VLMs and MLLMs for reasoning, VQA, retrieval
  • Design LLM-based vision agents and agentic AI workflows
  • Integrate LLMs, vision models, and APIs for multimodal systems
  • Use PyTorch, sklearn, pandas, Docker, REST APIs
  • Train/optimize multimodal models (Vision Transformers, multimodal transformers)
  • Perform tuning, ablation, quantization, fine-tuning, inference optimization
  • Test, benchmark, and scale models for robustness and performance

Qualifications

  • Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or related field.
  • Master’s degree preferred.

Experience

  • 5+ years of experience developing and deploying machine learning or deep learning models in production environments.
  • Experience working with large-scale image, video, or audio datasets.
  • Experience with Audio Models or multimodal AI systems is highly desirable.
  • Experience with model optimization, distributed training, or GPU parallelism is preferred.

Skills

  • Strong knowledge of computer vision or audio algorithms and deep learning architectures.
  • Hands-on experience with Vision Transformers, multimodal transformers, or foundation models.
  • Experience with LLM frameworks, agent systems, or multimodal reasoning pipelines is highly desirable.
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