Senior AI Researcher

New
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AI Jobs UAEAI research
United Arab Emirates (Remote)Full-TimeSenior
Salary not disclosed
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Job Details

Required Skills
PythonArtificial IntelligenceMachine LearningPyTorchTensorflowDeep LearningGenerative AI

Requirements

  • Have a strong background in artificial intelligence, machine learning, deep learning, computer science, computational research, generative AI, or a closely related research discipline.
  • Demonstrate a deep understanding of artificial intelligence and modern machine-learning theory.
  • Have proven experience conducting original AI or machine-learning research.
  • Bring strong knowledge of deep-learning architectures, optimization, representation learning, and statistical learning.
  • Have experience researching and developing advanced AI models and algorithms.
  • Have strong programming skills in Python and experience with PyTorch, TensorFlow, JAX, or equivalent AI frameworks.
  • Have experience designing rigorous experiments and evaluating research hypotheses.
  • Understand statistical analysis, experimental design, and model evaluation.
  • Have experience working with large-scale datasets and computationally intensive research environments.
  • Have experience with model training, fine-tuning, validation, benchmarking, and optimization.
  • Have expertise in at least one advanced AI domain, such as large language models, generative AI, computer vision, NLP, reinforcement learning, multimodal AI, or autonomous systems.
  • Be able to analyze academic literature and identify meaningful research opportunities.
  • Have experience reproducing, extending, or improving published research.

Responsibilities

  • Lead AI and machine-learning research projects from problem formulation through experimentation, validation, and technical delivery.
  • Define research questions, hypotheses, methodologies, evaluation frameworks, and measurable objectives.
  • Review academic literature, technical publications, benchmarks, patents, open-source projects, and emerging research directions.
  • Develop novel algorithms, models, architectures, and learning methodologies, and build research prototypes to validate concepts.
  • Design controlled, reproducible experiments and evaluate methods against established baselines and state-of-the-art approaches.
  • Prepare datasets and develop training, validation, testing, and evaluation pipelines for advanced AI models.
  • Analyze experimental results, model performance, robustness, failure modes, bias, and safety.
  • Develop research documentation, technical reports, papers, benchmarks, and presentations of findings.
  • Collaborate with engineering teams to transition validated research concepts into production systems.
  • Mentor researchers and technical professionals, review research approaches, and provide technical leadership.
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