Data Science
Machine Learning (ML)
Deep LearningJob Description
A job where you increase the depth of your expertise in computer vision.
A job where you learn and implement the SOTA papers.
A job where you write vectorized code that runs in seconds, not in minutes.
A job where models learn to see and understand the world around them.
A job where models run real-time because you optimize every byte.
A job where you keep the career promises that you made to yourself.
A job where you keep the learning promises that you made to yourself.
If this scares you, don't read.
If this excites you, we might love you.
Role
We are looking for a passionate Machine Learning Engineer to join our team.
The ideal candidate will be an enthusiastic developer with 2-5 years of experience in the field of Computer Vision and Artificial Intelligence.
If building things and writing code excite you, this is the startup you belong.
Key Technologies
Must be an expert in Python and Numpy.
Experience with Tensorflow/Keras/Pytorch is required.
Unsatiable hunger for writing beautiful code.
Knowledge of python design-patterns.
Some experience with C++ is preferred.
Knowledge working closely with version control (GIT).
Excellent communication skills and being able to work independently.
Strong problem-solving and coding skills override everything else written above.
About AIMonk
Run by IIT Kanpur alumni, AIMonk is a deep tech startup.
We build beautiful and scalable software using computer vision and deep learning.
We pride ourselves in solving problems nobody else can in the space
Shubham Vishwakarma
Full Stack Developer - Averlon
About AIMonk Labs Pvt Ltd
About
AIMonk is an artificial intelligence platform aimed at democratizing state-of-the-art visual recognition technology. Our solutions are creating business advantages and solving problems by analyzing millions of images and videos. AIMonk Labs is recognized as Startup by the Department for Promotion of Industry and Internal Trade (DPIIT) under the Startup India initiative of the Government of India.
Tech stack
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