Senior Machine Learning Engineer at rehire.

About the role

Rehire is hiring a Senior Machine Learning Engineer to build and manage production-grade computer vision systems. You will focus on creating scalable training pipelines and MLOps infrastructure rather than just model development.

Key facts

- Location: Ciudad de Mexico (Polanco) or Buenos Aires (Palermo)
- Engagement: Full-time
- Compensation: Competitive salary with standard legal benefits
- Team: IT

What you'll do

- Develop and refine deep learning models for computer vision tasks.
- Create and support MLOps pipelines to ensure reproducible and scalable training.
- Handle dataset preparation including cleaning, versioning, and augmentation.
- Measure model performance using mAP, IoU, precision, and recall.
- Address overfitting through regularization and hyperparameter tuning.
- Apply grid search, random search, or Bayesian optimization to improve models.
- Perform error analysis to identify false positives, false negatives, and data quality issues.
- Track experiments using tools like MLflow, Weights & Biases, or TensorBoard.
- Automate continuous training and validation workflows.




- Maintain strict versioning for models and datasets to ensure full traceability.

Requirements

- Minimum 5 years of professional experience in Machine Learning and Deep Learning for Computer Vision.
- Demonstrated history of building and managing MLOps training pipelines.
- Proficiency in Python and either PyTorch or TensorFlow.
- Experience with YOLO and Ultralytics frameworks.
- Familiarity with GPU-based training environments.
- Competence with Git and standard development workflows.
- Ability to manage annotation formats like COCO and YOLO.
- Experience with labeling tools such as CVAT, Label Studio, or Roboflow.

Skills & tools

- Python, PyTorch, TensorFlow
- YOLO, Ultralytics
- MLflow, Weights & Biases, TensorBoard
- CVAT, Label Studio, Roboflow
- COCO, YOLO annotation formats
- GPU training, Git

Practical notes

- Schedule: Monday to Friday, 9:00 to 19:00 with a one-hour lunch break.
- Work mode: Hybrid, with 4 days remote and 1 day on-site.
- Growth: This position offers career advancement opportunities as the role evolves.

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📌 Senior Machine Learning Engineer (Ciudad de México)
🏢 Rehire
📍 Ciudad de México