(Senior) Data / AI / ML Engineer at Building Radar developing scalable Data & AI solutions for the construction industry. Collaborating with engineers and designers to drive innovation through advanced technology.
About the role
- Machine Learning Software Engineer developing and industrialising AI solutions for Tech Soft 3D's HOOPS AI product. Collaborating on core libraries and APIs for industrial 3D applications.
Responsibilities
- Develop and maintain core libraries and APIs for the HOOPS AI toolkit
- Design, implement, and improve machine learning models for industrial 3D use cases
- Prepare and curate complex 3D datasets, including CAD, B-Rep, mesh, and point cloud data
- Build robust preprocessing pipelines for industrial 3D data, including normalisation, alignment, sampling, and dataset versioning
- Run, analyse, and document experiments with clean, reproducible code and reliable evaluation protocols
- Collaborate on model training, validation, benchmarking, and regression testing
- Package and deploy models into production-grade services and inference pipelines
- Improve CI/CD pipelines, automated testing, and release workflows using Azure DevOps and GitHub
- Communicate technical designs, results, and progress clearly in English
- Exemplify the Core Values of Tech Soft 3D on a consistent basis
Requirements
- Master’s degree in Computer Science, AI/ML, or equivalent relevant experience
- 3+ years of professional experience in software engineering and applied machine learning
- Strong Python skills with a focus on clean architecture, testing, and performance
- Experience with modern ML frameworks, ideally PyTorch
- Solid foundations in machine learning and computer science principles
- Experience with Git, CI/CD pipelines, and modern development workflows
- Familiarity with Docker and deploying services through APIs
- Excellent collaboration and communication skills
- Strong written and oral English language proficiency
Benefits
- health coverage
- bonus potential
- exceptional paid time off and holidays
- generous parental leave
- fun culture
- relaxed and inclusive environment
- outstanding leadership
- continuous learning and growth opportunities
- flexible daily schedules
- charitable donation matching program
- home office reimbursement
- monthly internet allowance
- amazing employee recognition program
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