Your Requirements:

  • Train ML models and apply computer vision techniques to problems within the organization
  • Product Delivery and quick POC turn arounds
  • Assess the quality and comprehensiveness of datasets
  • Effectively communicate results/findings through data visualization and reporting
  • Contribute to engineering the product for scale
  • Stay updated about emerging new algorithm and academic research papers -communicate/brainstorm to teams, and translate into code as POC’s.
  • Mentor fresh joiners and foster team culture

You must have:

  • You will have practical knowledge of image processing techniques, machine learning for computer vision, especially deep learning approaches for classification, object detection, segmentation, and generative models
  • 5-6 years of work experience in computer vision-driven projects; candidates with experience in leading teams in these projects will be preferred.
  • Deep understanding of ML algorithms, their fundamentals, and mathematical underpinnings
  • Strong algorithmic thinking, creative problem solving and the ability to take ownership and do independent research
  • Strong communication and interpersonal skills with the ability to collaborate and iterate with feedback from business/tech stakeholders
  • Proven code proficiency in Python
  • Expertise in OpenCV, ML/Neural networks technologies and frameworks such as PyTorch, Chainer, Tensorflow
  • Knowledge of micro-service architectures, relational and NoSQL databases
  • Experience in architecting systems is an added advantage
  • Educational background in any quantitative field (Computer Science / Mathematics / Computational Sciences and related disciplines)