Machine Learning Engineer

Hi there! We are South and our client is looking for a Machine Learning Engineer!

Note To Applicants

Eligibility: This position is open to candidates residing in Latin America.
Application Language: Please submit your CV in English. Applications submitted in other languages will not be considered.
Professional Presentation: We encourage you to showcase your professional experience by including a Loom video in the application form. While this is optional, candidates who provide a video presentation will be given priority.

We are looking for a Machine Learning Engineer with strong expertise in computer vision and object detection to tackle a specialized challenge: detecting walls and identifying rooms in architectural blueprints or pre-construction plans.

This role is ideal for someone who is hands-on, detail-oriented, and passionate about applying advanced ML techniques to solve real-world problems.

Key Responsibilities

Develop and fine-tune ML models for detecting walls in architectural blueprints.
Design and implement preprocessing pipelines for handling blueprint files (images/PDFs).
Optimize model inference using ONNX Runtime for production-ready deployment.
Build and maintain an API server to serve ML inference (preferably using BentoML).
Collaborate with stakeholders to define requirements, deliver milestones, and document solutions clearly.

Must-Have Requirements

Strong hands-on experience with PyTorch for model development and training.
Expertise with Ultralytics (YOLOv8) for object detection tasks.
Proficiency in OpenCV, Pillow (PIL), and NumPy for preprocessing and image manipulation.
Experience with ONNX / ONNX Runtime for optimized inference.
Solid knowledge of BentoML (preferred) or FastAPI for serving ML APIs.
Familiarity with Pydantic for schema validation.
Proven track record of deploying ML models into production.
Strong problem-solving mindset and ability to adapt ML tools to specialized use cases.
Clear communication and documentation skills.

Nice-to-Have

Experience working with PyMuPDF for parsing PDF-based architectural plans.
Background in architectural/engineering data or prior work with blueprint analysis.
Knowledge of clustering/grouping methods for room identification tasks.
Familiarity with MLOps practices (monitoring, scaling, CI/CD for ML).

Schedule: Monday to Friday - Full-time

Compensation: USD salary

Location: 100% remote

If this opportunity sounds good to you, send us your resume!

Machine Learning Engineer

Key Skills

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