BIM Manager

Job Description

We are seeking a Data Scientist with a strong focus on analyzing 2D and 3D data for computer vision applications within the construction engineering industry. In this role, you will analyze complex visual data, interpret the results, and provide actionable insights to enhance AI-driven solutions in construction processes. You will collaborate closely with data engineers and software engineers to refine and optimize existing models, ensuring they are effectively applied to real-world challenges in construction. Reporting directly to the Lead Data Scientist, this role offers an excellent opportunity for individuals passionate about leveraging data science to drive innovation and efficiency in the construction industry.

Responsibilities

Computer Vision

Collect, clean, and pre-process structured and unstructured data, including images, designs, and drawings, from various sources within the construction domain
Design and manage workflows for data ingestion pipelines across cloud and Databricks services, with a focus on the ingestion and embedding of images, designs, and drawings using both text and image embeddings
Perform monitoring and debugging to implement alerts and catches for continuous ingestion requests from a user-facing application
Develop novel methods and approaches to enable large vision models to effectively understand and interpret images such as architectural designs and engineering drawings
Create innovative approaches to data ingestion and arrangement for unstructured data, including various architectural formats such as images, PDFs, written reports, coordinate-based data, GIS data, geometries, CAD files, BIM models, and other visual elements
Use vector databases to store, persist, and extract embeddings from large collections of visual and textual data
Perform exploratory data analysis to identify patterns, trends, and anomalies within visual datasets

AI Model Development

Lead the development and implementation of large vision models and computer vision techniques to address challenges related to construction and asset/facilities management
Collaborate with senior data scientists to build pipelines for visual data processing, including retrieval-augmented generation (RAG) for image-based applications, and fine-tune models to meet internal and client needs

Collaboration

Work closely with cross-functional teams, including engineers, project managers, and domain experts, to understand business requirements and objectives
Collaborate with other data scientists and analysts to share knowledge and insights
Work closely with Meinhardt DTS’s software engineering team for data analytics/AI aspects of the development and delivery of DTS’s products

Continuous Learning

Research and test new developments in generative AI and their potential applications for products in the Meinhardt DTS team
Stay updated on industry trends, emerging technologies, and best practices in data science
Proactively seek opportunities for professional development and skill enhancement
Proactively seek opportunities for expanding knowledge base in construction, infrastructure, urban planning, and other domain topics

Job Details