Avatar for  AjnaLens
India's Leading AR/VR and Metaverse Company
  • Growth Stage
    Expanding market presence

Computer Vision Engineer

  • No equity
  • India • 
    +1
  • 4 years of exp
  • Full Time
Reposted: 9 months ago
Job Location
India • 
Mumbai • 
Visa Sponsorship

Not Available

Remote Work Policy

In office

RelocationAllowed
Skills
Computer Vision
Image Processing
Deep Learning
AWS
Caffe
Keras
TensorFlow
PyTorch

About the job

AjnaLens is a bleeding-edge tech company that builds AR/VR hardware & solutions for Defence, Enterprises & Training sectors. It was founded in IIT Bombay with a vision to create a positive impact at the grassroots by democratizing access to advanced technologies such as XR, AI, Digital twin and more.

website - www.ajnalens.com

Location: - Thane – WFO

Key responsibilities:

• Work towards ideating, implementing, and optimizing deep learning models for various computer vision applications including but not limited to - 3d object detection, 6dof object pose estimation, object tracking, 3d object registration (rigid or non-rigid), motion capture etc.

Desired Candidate Profile:

• At least 2+ years of experience in Deep Learning and Machine Learning techniques.

• At least 4+ years of experience in Computer Vision related applications.

• Experience solving analytical problems using quantitative approaches.

• Ability to manipulate and analyze large scale, high-dimensionality data from varying sources.

• Expert knowledge in the following programming/scripting languages(C++, bash and Python).

• Demonstrable background in Computer vision and Deep learning as open-source GitHub Repos.

• Hands-on with popular deep learning frameworks- Keras, TensorFlow, PyTorch and Caffe.

• Hands-on experience on AWS, and other cloud platforms.

• Ability to implement deep learning architectures in state-of-the-art deep learning research papers.

Preferred Qualification:

• Basic understanding of Natural language processing and Computer vision.

• Ability to handle large and complex unstructured datasets.

• Experience in optimization of deep learning pipeline for different hardware platforms.

• Experience in conversion of models to formats that are compatible with mobiles.

About the company

Funding

AMOUNT RAISED
$2M
FUNDED OVER
3 rounds
Rounds
S
$360,000
Seed - Oct 2019+2

Founders

Abhishek Tomar
Chief Technology Officer  • 3 years • 9 years
Mumbai
image
Abhijit Patil
Chief Operating Officer (COO) • 3 years • 10 years
image
Pankaj Raut
CEO | Co Founder • 3 years • 11 years
Mumbai
image
View the team image

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