Data Science | Neoperk Technologies Private Limited | Internship Alert | Latest Internship 2021

Data Science | Neoperk Technologies Private Limited | Internship

Data Science | Neoperk Technologies Private Limited | Internship Alert | Latest Internship 2021

About Company

Neoperk Innovations has the vision to construct a shut circle, profoundly proficient agri-esteem chain fueled by our one-stop tech-empowered stage for all horticulture and agri-information related administrations. Our first item is a quick soil testing innovation presented come up short on per-use administration model to address the issue for soil test based supplement the executives rehearses at scale. We are guided and upheld by NSRCEL – IIMB, Advanced Effect Square – A TCS Establishment Drive, Startup Development and Brooding Center – IITK and ICAR-NBSS&LUP, Nagpur. A portion of our acknowledgments incorporate

  • Winners of DST & TI’s India Innovation Challenge Design Contest (IICDC) 2018 anchored at NSRCEL, IIM Bangalore.
  • Second Prize at “Best Campus Start-up Challenge 2019” organized by SINE, IIT-Bombay.
  • Top 10 Finalist of “EarthTech Challenge 2020” held At Makepeace Island, Noosa, Australia.
  • Finalist for Tesco Agri T-Jam 2020 (
  • Winners of “AI for Agriculture Hackathon” supported by Google & HUL 6. Top 30 Finalists of Swadeshi Microprocessor Challenge 2021


  • Develop, train, and validate machine learning & deep learning models
  • Test models against defined metrics
  • Work on maintaining the datasets and data workflows/pipelines for the same
  • Work on the documentation of all the implementations & outcomes
  • Work with the core team on delivering results


  • Only those candidates can apply who:
    • are available for the work from home job/internship
    • can start the work from home job/internship between 17th Dec’21 and 21st Jan’22
    • are available for duration of 6 months
    • have relevant skills and interests
  • Required Skills – Python, TensorFlow, R, ScikitLearn
  • Ability to research, understand and implement algorithms
  • Deep understanding of statistics and ML concepts
  • Good understanding of signal processing techniques like signal preprocessing, filtering, convolution, deconvolution & decomposition
  • Experience with SQL
  • Experience with PyTorch, MATLAB, Streamlight, GCP 
  • Experience in deploying ML models on the cloud
  • Experience in working with remote sensing and GIS data

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