SPECIFIC SKILLS / COMPETENCIES
- Proven experience developing Machine Learning systems.
- Expertise in at least one Machine Learning framework like PyTorch, PyTorch Lightning, TensorFlow, Eras.
- Mathematical understanding and intuition of Computer Vision techniques, concepts and architectures.
- Familiarity with Python packages: NumPy, Pandas, Flask, Condo, Albumentations.
- Experience training, serving and monitoring cloud-native ML systems with tools like Docker , Cabernets.
- Knowledge of DevOps and MLOps best practices for production Machine Learning systems.
- Experience architecting Machine Learning systems.
Roles & Responsibilities:
- Designing and developing production-ready solutions based on Machine Learning and Computer Vision.
- Automating collection, cleaning, annotation and monitoring of data and predictions for Machine Learning.
- Establish and maintain Machine Learning best practices throughout the project.
- Inspire and guide junior developers to write clean, fast, reliable, testable, highly scalable, production-ready Python code.