AI Engineer

Posted time December 3, 2025 Location United Arab Emirates (Dubai / Abu Dhabi) Job type Full-time

About the Role

Our client is one of the well-known financial institutions in the UAE, and they are looking to hire a highly skilled AI Engineer to join their growing technology team in Dubai. The ideal candidate will design, build, and deploy AI and machine-learning solutions that enhance decision-making, automate processes, and drive innovation across our financial services operations.

Key Responsibilities

  • Develop, train, and optimize machine learning and deep learning models for financial applications (risk scoring, fraud detection, customer analytics, forecasting, etc.).
  • Integrate AI models into production systems using scalable architectures (cloud, APIs, microservices).
  • Collaborate with data scientists, product teams, and business stakeholders to understand requirements and deliver impactful AI solutions.
  • Build data pipelines, perform feature engineering, and ensure high data quality for modeling.
  • Monitor model performance, retraining cadence, and compliance with regulatory and ethical AI standards.
  • Research and evaluate emerging AI technologies and tools relevant to the financial industry.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
  • 3+ years of experience in AI/ML engineering or data engineering (preferably in financial services).
  • Strong programming skills in Python, plus experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Hands-on experience deploying AI models in production (Docker, Kubernetes, CI/CD, API deployment).
  • Solid understanding of data processing and database technologies (SQL, NoSQL, Spark).
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Knowledge of financial systems, risk management, trading, or compliance is a strong advantage.

Preferred Skills

  • Experience with LLMs, generative AI, and AI agents.
  • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).
  • Understanding of regulatory guidelines for AI in finance (e.g., model governance, bias detection).
  • Strong problem-solving skills and ability to work in agile environments.