- Design, develop and deploy Computer Vision and Deep Learning algorithms for challenging scenarios in Intelligent Visual Quality Inspection.
- Develop and optimize deep learning models using Convolutional neural networks, object detection frameworks, and segmentation techniques.
- Optimize model performance for real-time inference while maintaining high accuracy standards.
- Research and prototype novel approaches to handle real world challenging scenarios like varying lighting conditions, surface reflections, and complex geometric patterns.
- Collaborate with cross-functional teams to swiftly execute projects.
- Take full ownership of projects and drive them to success.
Requirements
- Bring 2-6 years of hands-on experience in deep learning and computer vision, backed by a track record of impactful industry projects or academic publications.
- Proficient in Python with strong software engineering practices.
- Previous exposure to real-world datasets in an industrial setting is a big plus.
- Demonstrate a profound understanding of deep learning and computer vision fundamentals.
- Showcase your expertise in developing algorithms for image processing, content-based image analysis, object detection, segmentation, and beyond.
- Solid understanding of deep learning frameworks such as Pytorch, Tensorflow, etc.
- Hands-on experience with OpenCV for image processing, feature extraction and traditional computer vision techniques.
- Excellent programming skills in Python.
- Familiarity with Cuda, Model Quantization and Optimization, (ONNX, TensorRT) will set you apart.
- Willingness to pick up novel tasks and find novel solutions.
- Proficiency with version control systems like Github or Bitbucket.
- Comfortable with Docker.
Benefits
- Flexible Working Hours
- Comprehensive Health Insurance
- Lunch on Us
- Gaming Zone with PS5
Skills Required
- 2–6 years of hands-on experience in deep learning and computer vision
- Track record of impactful industry projects or academic publications
- Proficiency in Python
- Strong software engineering practices
- Understanding of deep learning and computer vision fundamentals
- Experience with image processing, content-based image analysis, object detection, and segmentation
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Hands-on experience with OpenCV
- Willingness to learn novel tasks and develop novel solutions
- Experience with real-world industrial datasets
- Familiarity with CUDA
- Familiarity with model quantization and optimization
- Familiarity with ONNX and TensorRT
- Proficiency with version control systems such as GitHub or Bitbucket
- Comfort with Docker
What We Do
SwitchOn (Abee Research Labs Private Limited) is a Bengaluru-based AI software company founded in 2017, helping manufacturers eliminate defects through AI-powered visual quality inspection. At the core of SwitchOn's offering is DeepInspect®, a SaaS-based AI visual inspection platform purpose-built for high-speed production environments. DeepInspect automates the detection of visual defects, performs dimensional checks and supports thermal inspection replacing slow, error-prone manual inspection processes and outdated rule-based vision systems. What sets DeepInspect apart is its unique training approach: it requires only ~200 good product images to get started no defect samples needed. A new inspection model can be trained and deployed in approximately 45 minutes, compared to weeks or months with traditional systems. Once live, DeepInspect delivers 99.5% real-world inspection accuracy at throughputs of 1,100+ units per minute, making it viable for even the most demanding production lines. SwitchOn serves manufacturers across Automotive, Pharma, Electronics and FMCG industries, with deployments spanning 50+ plants across India, North America, Europe and Southeast Asia. To date, DeepInspect has inspected over 1 billion products globally, saving thousands of manual inspection hours and supporting customers' zero-defect manufacturing goals. Customers include global enterprises such as Unilever, ITC, SKF, Diageo and Sansera Engineering. The platform integrates with existing camera hardware and supports compliance with SOC 2, ISO 9001:2015, CE and 21 CFR Part 11 standards, making it enterprise-ready from day one. Backed by Axilor Ventures and Pi Ventures and recognized by NASSCOM Emerge 50, Google for Startups AI First and NVIDIA Inception, SwitchOn is a Series A-funded company with a 100+ person team and ~$1.5M ARR, scaling rapidly with marquee manufacturing customers worldwide.
Why Work With Us
At SwitchOn, you work on real Industrial AI solving defect elimination for global manufacturers like Unilever, P&G & Tata. We're ownership-driven, fast-paced & transparent with equity benefits, full health insurance & company meals. Join an early-stage team converging IoT & AI to transform manufacturing.
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