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Urgent! Machine Learning Engineer Job Opening In Bogotá – Now Hiring Ottomatik

Machine Learning Engineer



Job description

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


Required Skill Profession

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    Unlock Your Machine Learning Potential: Insight & Career Growth Guide


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