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Nebularc Technologies company logo
Advanced analytics enabling supply chain automation for business profitability11-50 Employees
  • Early Stage
    Startup in initial stages
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Jobs at Nebularc Technologies

Our Founding Team is of industry veterans, with combined global experience of 50+ years & alumni of leading Business & Tech schools (Stanford GSB, BITS, IIT, Great Lakes) We are building digital solutions that drive adoption of digital technology across the supply chain industry. We have delivered implementations across industries in fields of Digital Asset Management, Cloud Management, Artificial Intelligence & Machine Learning Start-Up India recognised, DIPP registered Industry Partners – IAMAI, NASSCOM, Microsoft, Sterlite Technologies, IIM K Customers so far – Indian Defence Force, Dubai World Shipping, Delex Express , RB, SS and so on Company URL : nebularc.com Position 1. Full Stack - Mean Eligibility/Requirements • Proven experience as a Application Developer in Microsoft technologies • Command on technologies C#, Angular and HTML5/CSS3 OR Python and AI • Expertise in architecture styles/APIs (REST, RPC) • Understanding of Agile methodologies • Strong knowledge of Application and data security protocols, design pattern. • Excellent troubleshooting and communication skills B.Tech/MCA in Computer Science Position 2. Data Science Eligibility/Requirements • Fluent in python programming language. Good scripting and programming skills. • Knowledge of writing neural networks backbones and further manipulation of deeper layers in order toachieve better performance out of the benchmark network architectures. • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Read and understand the research paper and implement the neural architecture in any popular deep learning framework. Preferably PyTorch. • Image preprocessing using Computer Vision libraries like OpenCV or Pillow. • 2 years of experience with computer vision and deep learning solutions, including image classification, object detection, segmentation, and equivalent computer vision-based tasks.

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