Machine Learning Engineer (General) - Remote

Overview

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.

In Short

• Develop and optimize ML models for compliance logic.
• Work with domain experts to formalize compliance rules.
• Create classification models for regulatory text and BIM data.
• Design quantifiable acceptability criteria for compliance rules.
• Build data extraction pipelines from BIM models.
• Integrate and optimize various ML components.
• Validate ML outputs against known examples.
• Implement strong coding practices and maintainable code.
• Collaborate with architects and code experts.
• Optimize models for performance and efficiency.

Requirements

• Solid understanding of machine learning techniques.
• Strong skills in data manipulation using libraries like pandas and NumPy.
• Knowledge of BIM and IFC data structure.
• Strong algorithmic thinking for custom checks.
• Good software engineering practices including version control.
• Ability to work collaboratively with domain experts.
• Experience in NLP and LLM projects is preferred.
• Prior work in rule-based automation is a plus.
• Experience in optimizing code for performance.
• Background in construction or engineering is beneficial.

Benefits

• Opportunity to work on cutting-edge AI/ML projects.
• Flexible working environment.
• Collaborative team atmosphere.
• Potential for contract extension based on performance.
• Gain experience in the AEC industry.