A
AI

AI Engineer

Abu Dhabi Airports Company · Abu Dhabi, AZ, AE

Actively hiring Posted about 22 hours ago

Role overview

The AI Engineer is responsible for designing, developing, and deploying AI-powered solutions that address real-world challenges. The role involves working closely with data scientists, software engineers, and product teams to transform complex business problems into scalable AI-driven solutions. The position focuses on building robust AI systems, optimizing machine learning models, and integrating them into production environments to ensure reliable and efficient performance.

What you'll work on

  • Model Development: Design, train, and fine-tune machine learning and deep learning models for different applications.
  • Data Pipeline Management: Build and maintain robust data pipelines used for model training and inference.
  • Deployment & Integration: Deploy AI models into production systems while ensuring scalability, reliability, and performance.
  • Optimization: Continuously improve model accuracy, latency, and efficiency through experimentation and tuning.
  • Collaboration: Work with cross-functional teams to understand business needs and convert them into technical AI solutions.
  • Monitoring & Maintenance: Develop monitoring processes to track model performance and detect model drift.
  • Research & Innovation: Stay updated with the latest AI/ML advancements and apply relevant technologies to enhance products.
  • Compliance & Ethics: Ensure AI solutions follow ethical standards, data privacy regulations, and security best practices.

*Requirements and Skills

Education**

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field .

What we're looking for

  • Strong programming skills in Python (knowledge of C++ or Java is a plus).
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of containerization tools like Docker and Kubernetes.
  • Familiarity with MLOps tools and practices .
  • Knowledge of NLP, computer vision, or reinforcement learning is preferred.

Tags & focus areas

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Fulltime Ai Ai Engineer Machine Learning Deep Learning Data Science