🛠 Tech Stack

💼 About This Role

You'll design end-to-end ML systems for a computer vision team focused on MLOps and scalability. You'll build robust training pipelines and optimize models for production, ensuring reproducibility and automation. This role offers the chance to work on advanced deep learning models at a leading tech company.

🎯 What You'll Do

• Design and optimize deep learning models for computer vision.
• Build and maintain scalable MLOps training pipelines.
• Manage datasets including cleaning, versioning, and augmentation.
• Evaluate model performance using IoU, precision, recall, and mAP.

📋 Requirements

• 5+ years in Machine Learning / Deep Learning for Computer Vision.
• Proficiency in Python, PyTorch, and/or TensorFlow.
• Experience with YOLO and other computer vision frameworks.
• Hands-on experience building MLOps training pipelines.

✨ Nice to Have

• Experience with experiment tracking tools like MLflow or W&B.
• Familiarity with annotation tools such as CVAT or Label Studio.
• Knowledge of GPU training optimizations.

🎁 Benefits & Perks

• 🏖️ Hybrid work model with flexible days.
• 📈 Growth opportunities as the team expands.
• ⚖️ Legal benefits and competitive salary.

📨 Hiring Process

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