Company Overview:
Meinhardt Digital Technology Solutions is a new business unit of Meinhardt Group, a global construction engineering consultancy with 61 offices worldwide. We are dedicated to leveraging cutting-edge technology to drive innovation in the construction engineering industry.
Position Overview:
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
Data Privacy and Security
- Ensure compliance with data privacy regulations and cloud security protocols to ensure domain-locked data is compliant with cross-border data flow restrictions
What We Are Looking For
Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field, or equivalent experience
Experience: At least 1 year of experience in computer vision, AI model development and image processing
Skills:
- Strong programming skills in Python
- Knowledge of image data engineering and image pre-processing techniques
- Knowledge of vector stores and databases in relational and non-relational formats
- Familiarity with data engineering workflows and tools, particularly in cloud environments (Azure, Databricks)
- Ability to propose and test creative solutions to natural language processing and computer vision
- Effective communication skills to convey technical concepts to non-technical stakeholders
- Experience with SQL and NoSQL databases
- Familiarity with agile development methodologies
- Good communication and interpersonal skills
Nice to Have
- Experience with construction/infrastructure industry data and processes
- Experience using managed workflows and collaborative workspaces (Databricks)
- Experience in ML, AI or computer vision product development
Note to Potential Candidates:
We understand that no candidate will meet every single requirement listed. Studies show that minorities, including women and underrepresented groups, often hesitate to apply if they don’t meet all criteria. We want to assure you that your unique experiences and perspectives are valued here. If this role interests you, we strongly encourage you to apply. Passion and potential are key to us, and we believe diverse backgrounds strengthen our team.
