Job Description

  • BENGALURU

Infilect, a leader in visual-intelligence for worldwide retail, is looking for candidates with engineering and deep learning experience of at least 2 years in the industry

About Infilect:

Infilect is founded by two PhDs and ex-IBM-Research-Scientists to build scalable visual-AI systems to make the world a better place. Infilect (https://www.infilect.com) builds state of the art cloud and AI applications for the worldwide retail industry. We process images and videos at scale and in real-time in order to solve retail supply-chain problems, and make an environmentally sustainable net-positive impact on the world. We are driven by the promise of AI and software technology to save time, save cost, save energy, and improve user experience for businesses and consumers all over the world.

Responsibilities:

  • Reading research papers and implementing state-of-the-art techniques
  • Rapidly extending publicly available code modules to work on custom problems
  • Software development of machine learning back-end
  • Rapid experimentation, analysis, and deployment of machine/deep learning models
  • Training and testing deep learning models at scale
  • Working on cutting-edge technology in object detection, object tracking, OCR in natural scenes, image classification, video analysis, and many more exciting techniques that form the basis of AI (artificial intelligence).

Skills Required:

  • Hands-on experience in deep/machine learning for computer vision of 2+ years (extensive experience OpenCV, PyTorch, Tensorflow)
  • Hands-on experience in Python with 2+ years of in-depth system building experience
  • Smart programmers with strong analytical skills

Job Perks:

  • Work on a problem that will have positive impact on millions of users
  • Work with experienced computer scientists
  • Lively and highly collaborative environment

 

Skills

  • AI
  • Python
  • Analytical Skills
  • Object Tracking
  • Back End
  • Deep Learning

Education

  • Master's Degree
  • Bachelor's Degree

Job Information

Job Posted Date

Apr 04, 2024

Experience

2 to 6 Years

Compensation (Annual in Lacs)

Best in the Industry

Work Type

Permanent

Type Of Work

8 hour shift

Category

Information Technology

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