🛠 Tech Stack

💼 About This Role

You'll design and optimize machine learning pipelines for computer vision models in a production environment. Your work will focus on building robust MLOps systems that ensure reproducibility and scalability from training to deployment.

🎯 What You'll Do

• Design and optimize deep learning models for computer vision tasks.
• Build and maintain ML pipelines for model training with reproducibility.
• Prepare and manage datasets including cleaning, versioning, and augmentation.
• Monitor experiments using MLflow, Weights & Biases, or TensorBoard.

📋 Requirements

• 5+ years of experience in Machine Learning / Deep Learning applied to Computer Vision.
• Proficiency in Python, PyTorch, and/or TensorFlow.
• Experience with YOLO or Ultralytics computer vision frameworks.
• Experience building MLOps training pipelines.

✨ Nice to Have

• Experience with annotation tools like CVAT, Label Studio, or Roboflow.
• Knowledge of COCO or YOLO dataset formats.
• Experience with GPU training and hyperparameter optimization.

📨 Hiring Process

Apply at www.rehire.ar/jobs and send your CV.