AI Engineer
Indexed description
We're Hiring Mid-level - AI Engineer
Location: Alexandria – San Stefano.
Employment Type: Full-Time (On-Site).
Career Level: Mid-level - Senior AI Engineer
Job Categories: IT/Software Development Engineering – Telecom-Technology/ Data Science.
Education Level: Bachelor's Degree.
Experience Needed: 3+
About the Role
We are looking for “AI Engineer” to join our team. You will play a key role in building, testing, and deploying AI and machine learning solutions to solve real-world problems and enhance our digital products.
Key Responsibilities
- Develop AI-driven tools for geometry manipulation, parametric modeling, and generative design in construction applications.
- Design, develop, and deploy machine learning models
- Analyze datasets, extract insights, and create data-driven AI solutions.
- Collaborate with cross-functional teams to define AI requirements and integration strategies
- Implement machine learning algorithms to enhance efficiency, accuracy, and automation in design processes.
- Work with large-scale construction datasets to build AI models for predictive analysis and automation.
- Collaborate with software engineers and data teams to understand business requirements and deliver intelligent features.
- Optimize geometry processing algorithms for real-time and large-scale construction data.
- Stay up to date with the latest AI research and integrate relevant advancements into projects.
- Write clean, maintainable code and contribute to technical documentation and code reviews.
Requirements
- Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or related field.
- experience in AI/ML development.
- Strong foundation in algorithms, data structures, and statistics.
- Proficiency in Python and at least one ML framework
- Experience with model deployment, evaluation, and MLOps fundamentals.
- Experience with Natural Language Processing (NLP) or Computer Vision.
- Familiarity with big data technologies and database systems.
- Exposure to Docker, Kubernetes, or DevOps practices.
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