The ML Engineer (General) supports 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.
The engineer designs non-LLM machine learning or heuristic methods needed to interpret rules and analyze BIM data.
Responsibilities include developing compliance logic, preprocessing classification models, designing acceptability criteria, building data extraction pipelines, integrating and optimizing models, and ensuring quality assurance of ML outputs.
Requirements:
A solid understanding of machine learning techniques, including classification and regression, with experience implementing models in Python or similar languages.
Strong skills in data manipulation using libraries like pandas and NumPy, and the ability to write scripts to parse XML/JSON.
At least a conceptual understanding of BIM and IFC structure to know what kind of data a BIM model contains.
Strong algorithmic thinking to implement custom checks, with familiarity in computational geometry or graph algorithms being a plus.
Good coding practices, including modular design, version control (Git), and integration testing.
Ability to collaborate with domain experts, such as architects, to interpret rules correctly and iterate on logic based on feedback.
Benefits:
The position offers a remote work opportunity for a 3-month contract, which is extendable.
The role provides the chance to work on innovative AI/ML projects in the compliance domain.
There is an opportunity to collaborate with domain experts and gain insights into the AEC industry.
The engineer will have the chance to enhance their skills in machine learning, data processing, and software engineering practices.
