AI Engineer – Full Stack & GenAI (Python)
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About the Role
AI Engineer – Full Stack & GenAI (Python) Qualifications Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles. Applied experience with Pattern Recognition and Neural Networks for real-world AI and machine learning solutions.
Key Skills for This Role
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Overview
AI Engineer – Full Stack & GenAI (Python)
Qualifications
- Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
- Applied experience with Pattern Recognition and Neural Networks for real-world AI and machine learning solutions.
- Hands-on expertise in Natural Language Processing (NLP), including working with large language models and GenAI frameworks.
- Proficiency in Software Development using Python, with experience building and maintaining production-grade APIs and services.
- Experience with full-stack development (e.g., modern frontend frameworks, RESTful APIs, databases) is highly beneficial.
- Familiarity with cloud platforms (such as AWS, Azure, or GCP) and MLOps practices (CI/CD, containerization, monitoring) is a plus.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Ability to work collaboratively in cross-functional teams, communicate complex concepts clearly, and operate in an on-site, client-focused environment in Abu Dhabi.
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