Wellness at Work | Computer Vision Engineer | delhi

5 days ago


delhi, India Wellness at Work Full time

Position: Computer Vision Developer

Location: Remote

Type: Part-Time 


About Us:

We are a Singapore-based startup on a mission to transform wellness for professionals and students who spend long hours in front of screens. By harnessing cutting-edge technology, we track user habits, deliver actionable insights, and empower users to enhance their overall wellness.


At our early-stage startup, your ideas will matter, your work will have a real impact, and you'll play a pivotal role in shaping a product that genuinely improves lives. You'll collaborate closely with the founder to build the next big innovation in workplace wellness. We want to hear from you if you’re passionate about technology, health, and solving meaningful challenges


Our founding team brings a wealth of experience from prestigious institutions like IIT Madras and Nanyang Technological University, with many years of collective experience building and scaling fast-paced startups. Ishaan has successfully launched two venture-funded startups in Singapore, while Mehul has contributed to global giants like Amazon, Delivery Hero, and Flipkart across Europe and India.

Join us in redefining how the world approaches wellness at work.


Key Responsibilities
  • Design, develop, and implement computer vision algorithms and models to analyze user behavior in real-time using laptop and desktop camera feeds.
  • Collaborate with a cross-functional team of product and design experts to refine requirements and deliver user-focused solutions.
  • Rigorously test and debug models to ensure accuracy and reliability in diverse environments.
  • Optimize computer vision models for efficient performance on laptops and desktops, ensuring minimal GPU/CPU usage.
  • Champion privacy-first development practices, processing all video data locally on user devices and adhering to GDPR standards.


Required Skills and Qualifications:

  • 2+ years of experience in building and deploying computer vision applications.
  • Proficiency in OpenCV, TensorFlow, or PyTorch; familiarity with related tools and libraries is a plus.
  • Experience in real-time video processing and optimization for resource-constrained environments.
  • A creative and detail-oriented approach to solving technical problems.
  • Familiarity with cloud-based services for deploying AI models (AWS, Azure, Google Cloud).


Preferred Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering.
  • Experience optimizing computer vision models specifically for laptops and desktops.
  • Prior work on health-tech or wellness applications.
  • Prior work experience with face models.
  • Prior work experience with model conversion.
  • Familiarity with C++ for OpenCV-based projects.
  • Understanding of human-computer interaction principles.


What We Offer:

  • Competitive Salary: Be part of our growth story with meaningful ownership.
  • Conversion to Full-Time: Potential to convert part-time role to full-time with equity option.
  • International Company: Be a part of an International organisation with experienced founders 
  • Flexibility: Work remotely or hybrid, with a schedule that works for you.
  • Collaborative Culture: Join a passionate team that values creativity, collaboration, and curiosity.
  • Impact: Build technology that directly enhances well-being and productivity.
  • Growth Opportunities: Work on cutting-edge projects with the potential to scale globally.


Why You’ll Love Working With Us

This isn’t just another job—it’s a chance to shape the future of wellness tech. Your work will have a tangible impact on real users, and you’ll get to be a part of something from the ground up. We thrive on ideas, experimentation, and innovation, and we’re building a culture that values curiosity as much as execution.


How to Apply:

Please send your resume, portfolio, or links to relevant projects to careers@wellnessatwork.ai. We look forward to building a healthier future together



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