Job Summary

Job Type


Years of Experience
Information not provided

Tech Stacks
Amazon S3

Job Description

  • Build advanced Image recognition and computer vision models in Agrotech domain
  • set-up advanced imaging/experimentation facilities for computer vision applications
  • Implement novel as well as established tools and techniques for image recognition problems
  • Proactively work with the experts and business entities to define problems, gather requirements and acquire data
  • Drive innovation through ideation and quick prototyping of Computer vision applications
  • Identify / manage risks & bottlenecks and proactively communicate to stakeholders
  • Manage ML (Python) code base to ensure re-use of algorithms and modules across data team

  • Experienced with advanced ML frameworks for Image Recognition applications
  • Good fundamentals in computer vision techniques, deep learning and convolutional networks
  • Hands-on with Object detection, semantic segmentation, classification/clustering applications
  • Excellent knowledge of OpenCV
  • Expertise in ML frameworks such as TensorFlow, Keras , Pytorch etc..
  • Good project management skills, managing customer expectations and stakeholder communications
  • Proficient in SQL, Python based scientific and numerical libraries and machine learning techniques
  • Experience in major AWS cloud infrastructure such as S3, Dockers and Lambda for model deployments, PoCs etc. . Knowledge/experience with Github code repository, Circle CI is desirable
  • Experience with VR/AR an advantage

Knowledge grows through differences

Yara is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. We believe that creating a diverse and inclusive work environment is not only the right thing, but also the smart thing to do. To deliver on this, Yara has firmly anchored Diversity & Inclusion (D&I) in our business strategy and has more than 400 employees worldwide involved in D&I ambassador networks.


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