Ottomatik.io
Machine Learning Engineer
Ottomatik.ioArgentina12 hours ago
Full-timeRemote FriendlyEngineering
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!

Key Skills

Ranked by relevance
Apply