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Data Scientist

Role overview

Qualifications

  • Python
  • Pytorch, Pandas, Numpy, CV2
  • Experience working on Computer Vision projects
  • Experience with Cloud is a plus

Responsibilities

  • Develop and implement machine learning models using computer vision and PyTorch
  • Collaborate with a team of data scientists and engineers to support the development of innovative solutions
  • Conduct data analysis and feature engineering to support the development of machine learning models
  • Use computer vision techniques to extract and analyze data from images and videos

Key facts

Hard skills

About the company

ParallelDots logo

ParallelDots

  • Scaleup
  • 51–200
ParallelDots is a leading image recognition solution provider for FMCG companies and retailers globally, helping them optimize their in-store execution and maximize their sales. ParallelDots has a proven model to deliver higher ROI than other retail Image Recognition solutions owing to its superior technology that is fast to set up and affordable to scale. More information on why ParallelDots is better than other solutions is available here - https://www.paralleldots.com/technology

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Job description

 

The Associate Data Scientist will be responsible for developing and implementing machine learning models using computer vision and PyTorch. This individual will work closely with a team of data scientists and engineers to support the development of innovative solutions in a fast-paced, collaborative environment.

Key Responsibilities:

  1. Develop and implement machine learning models using computer vision and PyTorch. 

  2. Collaborate with a team of data scientists and engineers to support the development of innovative solutions. 

  3. Conduct data analysis and feature engineering to support the development of machine learning models. 

  4. Use computer vision techniques to extract and analyze data from images and videos. 

  5. Support the deployment and maintenance of machine learning models in a production environment.

  6. Contribute to the continuous improvement of machine learning processes and practices.


Key Skills:

  1. Python

  2. Pytorch, Pandas, Numpy, CV2

  3. Experience working on Computer Vision projects

  4. Experience with Cloud is a plus

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