Python/Machine Learning Role

Role Overview:

The associate will contribute to the development of custom Dynamo nodes for grading tasks in Civil 3D and explore the integration of machine learning algorithms into the automation framework. This role demands a strong background in Python, particularly in the context of machine learning, and experience with Dynamo or similar visual programming environments.

Key Responsibilities:

• Develop custom Dynamo nodes that facilitate grading and other Civil 3D tasks, enhancing the automation capabilities of the software.
• Apply machine learning techniques to analyze and predict grading patterns, optimizing the design process in Civil 3D.
• Work with datasets and ML models to integrate predictive analytics into Civil 3D workflows.
• Collaborate with domain experts to understand grading requirements and constraints, translating them into automated solutions.
• Continuously research and implement best practices in machine learning to improve the functionality and efficiency of Dynamo nodes.

Skills and Qualifications:

• Strong proficiency in Python, with experience in machine learning libraries such as TensorFlow, Keras, or scikit-learn.
• Experience with Dynamo or similar visual programming tools used in computational design and BIM environments.
• Ability to work with unstructured problems and develop innovative solutions independently.
• Knowledge of Civil 3D, grading design principles, and relevant industry standards.
• Excellent analytical and problem-solving skills, with a self-starter attitude and the ability to take initiative on projects.
• Strong communication skills to effectively articulate complex technical concepts and collaborate with team members.