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Lead Computer Vision & Data Science Engineer
Lead Computer Vision & Data Science Engineer
Livello India Private Limited's logo

Lead Computer Vision & Data Science Engineer

Parvathi IndiaHR's profile picture
Posted by Parvathi IndiaHR
3 - 4 yrs
₹10L - ₹15L / yr
Hyderabad
Skills
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
TensorFlow
skill iconDocker
Forecasting
Predictive modelling
Image Processing
Algorithms

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.


Responsibilities

  • Lead the CV and DS Team
  • Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant).
  • Your work will include formulation and development of a Machine Learning models to solve the underlying problem.
  • You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
  • Statistical data modelling and machine learning research.
  • Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes
  • Conduct applied research to model complex dependencies, statistical inference and predictive modelling
  • Technological conception, design and implementation of new features
  • Quality assurance of the software through planning, creation and execution of tests
  • Work with a cross-functional team to define, build, test, and deploy applications


Requirements:

  • Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
  • 3-4 years of experience with computer vision and data science.
  • Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques).
  • Experience building production-quality and well-engineered Computer Vision and Data Science products.
  • Experience in image processing, algorithms and neural networks.
  • Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
  • Solid Python engineering skills and experience with Python, Tensorflow, Docker
  • Cooperative and independent work, analytical mindset, and willingness to take responsibility
  • Fluency in English, both written and spoken.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Livello India Private Limited

Founded :
2016
Type :
Product
Size :
20-100
Stage :
Profitable

About

India Private Limited is a start up company with its parent company based in Germany in the city of Dusseldorf. We started in the year 2016 with a vision to create revolution in the domain of retail technology to automate and simplify the shopping experience of our customers. We have started our R&D division in India with a vision to strengthen and expand our R&D team to come up with the products that will make the shopping experience of our customers fast and hassle free. Our expertise consists of fullstack, IoT,cloud, data science, computer vision, embedded systems, test automation electronics and mechanical engineering.

For more information, please visit our website https://www.livello.com/technologies?lang=en

 

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