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Digital Twins to power Manufacturing Intelligence

Computer Vision Engineer

₹5.6L – ₹8L • 0.05% – 0.1%
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We are building an AI-enabled solution to autonomously operate industries. A major part of this solution is a one-of-a-kind deep neural network to detect faults in parts product by heavy assets.
We have a system of capturing images from assembly lines and we are feeding that into our deep-learning framework to isolate faults in parts produced. We are looking for rock-start Computer Vision Experts who can help us to bring the one-of-a-kind deep neural networks to life.

What will you be doing on a day-to-day basis?
1. Working with the imaging team to define the best images for deriving the faults in such dynamic systems.
2. Working with the customer to understand and validate the accuracy of algorithms deployed at scale on the field.
3. Analyzing images of parts of different kinds for real-time recognition of part defects faster and more accurate than humans.
4. Working with the hardware teams to define hardware to take actions on the conclusions drawn from the neural network.

Prior hands-on experience in the following technologies is a bonus,

1. TensorFlow
2. Keras
3. Python
4. CNN and friends
5. MongoDB
6. CUDA
7. Caffe
8. Open CV

But, you can trump any of this by being a quick learner and a hard worker. If you want to be a part of the next phase of autonomous Industries and want to work in a team of rock-stars such as yourselves, allow us to take you out for coffee.
Location
Bengaluru
Job type
Full-time
Visa sponsorship
Not Available
Experience
1+ years
Hiring contact

Equity benefits

Work from home policy

Company meals

SwitchOn at a glance

Digital Twins to power Manufacturing Intelligence

SwitchOn focuses on Internet of Things and Deep Learning. Their company has offices in Bengaluru. They have a small team that's between 11-50 employees. To date, SwitchOn has raised $1M of funding; their latest round was closed on June 2019.

You can view their website at http://www.switchon.io or find them on LinkedIn.

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