Sr Machine Learning Engineer

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.
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