Job Description

Roles & Responsibilities

Responsibilities

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.

Experience

5+ years of overall professional experience, including 2+ years in AI/ML engineering or similar roles.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Proven experience building end-to-end AI solutions from data collection to deployment.

Technical Skills

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.

Core Competencies

Ability to prioritize work and meet commitments aligned with organizational goals and project timelines.
Strong capability to manage complex technical challenges.
Accountability for delivering high-quality results and meeting commitments.

Desired Candidate Profile

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.

AI Engineer Abu Dhabi Airports Company