Senior Machine Learning Engineer

Mad Street Den

Chennai, IN
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 02/12/2021
  • Website: madstreetden.com
  • Company Address: 541, Jefferson Avenue, Redwood City, CA, 94063

About Mad Street Den

Mad Street Den is a Computer Vision and Artificial Intelligence startup whose visual intelligence platform Vue.ai enables the Retail industry to reimagine the future with AI.

Job Description

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)

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.