Machine Learning Engineer

One of our clients based in the UAE currently seek a Machine Learning Engineer to join their dynamic team on an initial 3 month contract with a view to extend based on performance. This role is Fully Remote. The ML Engineer (General)will support the AI/ML components of the project beyond just language processing. This role focuses on developing and optimizing various models and algorithms that drive the compliance logic and data processing. They design the non-LLM machine learning or heuristic methods needed to interpret rules and analyze BIM data.

Key Skills and Requirements:

Machine Learning Fundamentals:

Solid understanding of machine learning techniques (classification, regression, etc.), and experience implementing models in Python or similar.

Comfort with both supervised and unsupervised methods, and the ability to decide when a heuristic or rule-based approach is more suitable than an ML model.

Data Processing:

Strong skills in data manipulation (using libraries like pandas, NumPy).

Ability to write scripts to parse XML/JSON (for IFC or extracted data) and to transform raw data into features needed for checks.

Knowledge of BIM Data:

At least a conceptual understanding of BIM and IFC structure – knowing what kind of data a BIM model contains (e.g., geometry, properties, relationships). This helps in understanding what needs to be extracted for rules (for example, how to get all door objects and their widths from an IFC file).

Software Engineering:

Good coding practices, including modular design, version control (Git), and integration testing. Since this is a short POC project, the engineer should write clean, maintainable code that others can quickly understand and connect into the larger system.

Should this role speak to you, kindly send a copy of your latest CV to [email protected]