Machine Learning Engineer

Há 7 dias

Santo André, Brasil Ottomatik.io Tempo inteiro

Overview Machine Learning Engineer role at Ottomatik.io. We are seeking a hands-on 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. 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: Including a Loom video in the application form is optional but may be given priority. 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 - GMT-3 Compensation USD salary Location 100% remote If this opportunity sounds good to you, please send us your resume Seniority level Director Employment type Full-time Industry Construction #J-18808-Ljbffr

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