onsite
Senior Data Engineer - Augrade Inc
Data Engineer
Lead the design and deployment of AI-driven data pipelines for 3D BIM generation, leveraging Python, PyTorch, and AWS to transform 2D blueprints into code‑compliant models and cost analyses.
About the role
Key Responsibilities
- Architect and maintain scalable data pipelines that ingest, clean, and transform 2D blueprint data into structured formats for AI model training.
- Collaborate with ML engineers to integrate PyTorch/TensorFlow models into production, ensuring efficient inference and batch processing.
- Implement data versioning, monitoring, and quality checks using Docker, AWS S3, and Glue to support continuous model improvement.
- Optimize SQL queries and database schemas for high‑throughput analytics and reporting on construction cost estimates.
- Automate deployment workflows with CI/CD pipelines, container orchestration, and cloud infrastructure management.
Requirements
- 5+ years of experience in data engineering within AI or construction tech domains.
- Proficiency in Python, SQL, and experience with PyTorch/TensorFlow pipelines.
- Hands‑on expertise with AWS services (S3, Glue, Lambda, SageMaker) and Docker containerization.
- Strong problem‑solving skills and ability to work in a fast‑paced startup environment.
- Excellent communication and collaboration skills across cross‑functional teams.
Skills
pythonpytorchtensorflowawsdockersql