JOB DESCRIPTION:

  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.