JOB DISCRIPTION :    

  

  EXPERIENCE RANGE - [  2 - 9 years  ]

  

  QUALIFICATION  -  B.Sc in Computer Science or Data Science or Machine Learning.

  

  SPECIFIC SKILLS / COMPETENCIES  - 

1. Proven experience developing Machine Learning systems.   

2. Expertise in at least one Machine Learning framework like PyTorch, PyTorch Lightning, TensorFlow, Keras.

3. Mathematical understanding and intuition of Computer Vision techniques, concepts and architectures.

 

4. Familiarity with Python packages: NumPy, Pandas, Flask, Conda, Albumentations.

 5. Experience training, serving and monitoring cloud-native ML systems with tools like Docker , Kubernetes .

6. Knowledge of DevOps and MLOps best practices for production Machine Learning systems.  

7. Experience architecting Machine Learning systems.

    Roles & Responsibilities :

1.  Designing and developing production-ready solutions based on Machine Learning and Computer Vision.   

2. Automating collection, cleaning, annotation and monitoring of data and predictions for Machine Learning.   

3. Establish and maintain Machine Learning best practices throughout the project .   

4. Inspire and guide junior developers to write clean, fast, reliable, testable, highly scalable, production-ready Python code.