Machine Learning Engineer (Recoleta)

5 days ago Be among the first 25 applicantsHi there! We are South and our client is looking for a Machine Learning Engineer! Note To ApplicantsEligibility : 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 adecuado for someone who is hands-on, detail-oriented, and passionate about applying advanced ML techniques to solve real-world problems.ResponsibilitiesDevelop 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 RequirementsStrong 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-HaveExperience 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-timeCompensation : USD salaryLocation : 100% remoteIf this opportunity sounds good to you, send us your resume! #J-

• Ljbffr

#J-18808-Ljbffr