Required Skills

Computer science Computer vision deep learning Interpersonal skills NoSQL Image processing Neural networks Machine learning Mathematics Python

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 22nd Aug 2022

JOB DETAIL

  • Our suite of products helps retail companies automate and make their process chain intelligent by using Computer Vision, NLP, Machine Learning techniques, and Data Science. We are a team of AI/ML engineers from various backgrounds including Computer Science, Mathematics, and Neuroscience.
  • We are trying to make sense of diverse streams of unstructured data and engineer intelligent products. We are looking for high-energy generalists for Computer Vision / Machine Learning to deliver theoretically elegant, algorithmically, and practically efficient, well-engineered solutions to hard problems.

Skills we need:

  • 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
  • At least 3+ 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
  • Exceptional knowledge of microservice architectures, relational and NoSQL databases
  • Experience in architecting systems will be an added advantage
  • Educational background in any quantitative field (Computer Science / Mathematics / Computational Sciences and related disciplines)

Company Information