Machine Learning Engineer

• Research and implement appropriate ML algorithms and tools.

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  Run machine learning tests and experiments, training networks and tuning their hyperparameters.

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  Research and implement best practices to improve the existing machine learning infrastructure.

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  Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability

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  Analyzing the errors of the model and designing strategies to overcome them.

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  Deploying models to production.

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  Write product quality code and perform developer level verification.

• At least two years of experience as a Machine Learning Engineer.
• Proficiency with Python and basic libraries for machine learning.
  
• Familiarity with machine learning frameworks (like PyTorch & Tensorflow) and libraries.
  
• Knowledge on basics of math and probability.
  
• Familiarity with different convolutional Neural Networks like yolo, Resnet, Unet, RCNN, Mask-RCNN.
  
• Experience with code quality tools and unit testing.
  
• Proficient understanding of code versioning tools e.g., git
  
• Experience in developing software under Agile development methodology.
  
• Knowledgeable and well versant with various development tools for designing, coding, debugging/ troubleshooting, testing, bug tracking, collaboration and source control.
  
• Bachelor’s degree or equivalent in Engineering discipline - Computer/ Electronics. Knowledge, Skills and Abilities
  

Required Experience and Qualifications