Computer Vision Specialist – Adoro – Full Job Description

🗓 Posted on: April 14, 2025 | 📁 Category: Python | 📍 Location: India

Company: Adoro
Location: India
Job Type: Full-time
Salary: Negotiable

Computer Vision Specialist

We need a full time person with Machine Learning and Computer Vision experience with an established track record of building successful customer applications.

Passionate about developing new solutions in domains such as image/video analysis, ecommerce, recommendation engines, and data mining.

Requirements:

  • B.Tech./ B.E / MCA degree in Computer Science, Information Systems/Technology or Mathematics, from Tier-1 universities (IIT, BITS-Pilani, NITs and IIITs) preferred.
  • 2+ years of experience in Computer Vision field.
  • Strong expertise with OpenCV, MATLAB, Java, Python, C.
  • Understanding of various Face detection techniques and Face pose estimation using classification of pixels as face/skin/background.
  • Frameworks that enables training of the models for new objects and continuous improvements of the vision models.
  • Experience in software development lifecycle, including analysis, software development, installation, integration, enhancement, maintenance, testing, and problem diagnosis/resolution.
  • Experience in the social networking, e-commerce domains would be a bonus.

What we Expect from you?

  • Work with core founding team to create mobile products focused on social and e-commerce industries.
  • Design and build applications/ components using open source technology.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Taking complete ownership of the deliveries assigned.
  • Unit-test code for robustness, including edge cases, usability, and general reliability.
  • Work on bug fixing and improving application performance.
  • Make disciplined use of source control and bug tracking systems.
  • Participate in software code reviews to ensure the creation of high-quality, robust code by all team members.
  • Eagerly participate in mentoring and skills transfer to junior members of the team.

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