Computer Vision Engineer
Experience: 0–2 years | Employment: Full-time | Location: Bengaluru, On-site
About the Role
Control One is looking for a Computer Vision Engineer to build and deploy Vision AI systems for real-world industrial and autonomous applications.
You'll work at the intersection of computer vision, deep learning, robotics, and edge computing, taking models from data and experimentation all the way to deployment on physical hardware.
This is a hands-on role for someone who enjoys solving challenging perception problems, debugging systems in the real world, and seeing their work move from a laptop into production.
What You'll Do
- Develop and deploy computer vision systems for object detection, segmentation, tracking, pose estimation, and scene understanding
- Train and optimize deep learning models using YOLO, CNNs, Transformers, and related architectures
- Build robust vision pipelines using Python, OpenCV, PyTorch/TensorFlow, and GStreamer
- Deploy and optimize models for real-time inference on edge and embedded devices
- Work with image/video datasets including data collection, annotation, preprocessing, and curation
- Debug and improve vision pipelines in real-world industrial environments
- Integrate Vision AI systems with embedded hardware, robotics, and autonomous equipment
- Collaborate closely with robotics, firmware, and hardware engineers
- Test, validate, and continuously improve models based on field performance and edge cases
- Document models, datasets, experiments, and system performance
What We're Looking ForStrong Fundamentals
- Solid understanding of computer vision and image processing
- Strong Python programming skills
- Good understanding of deep learning and neural networks
- Experience with object detection and segmentation
- Hands-on experience with PyTorch, TensorFlow, or similar frameworks
- Strong understanding of OpenCV and image/video processing
- Experience working with GStreamer pipelines
Hands-on Experience
- Building and training computer vision models
- Preparing and working with image/video datasets
- Deploying and optimizing models for production
- Testing and validating vision systems
- Debugging complex vision pipelines
- Working with real-world, noisy, and unstructured data
Good to Have
- Experience with NVIDIA Jetson or other edge AI platforms
- Model optimization, quantization, or TensorRT
- Experience with ROS / robotics
- Exposure to 3D vision, depth estimation, or SLAM
- Experience with autonomous systems or industrial automation
- Experience integrating AI models with embedded hardware
- Computer Science, Electronics, Robotics, or related educational background
- Personal/academic computer vision projects, publications, or open-source contributions
What You'll Get
- Work on real-world robotics, industrial automation, and autonomous systems
- Own projects across the complete computer vision/ML pipeline
- Deploy AI models on actual production hardware
- Hands-on exposure to edge AI, embedded systems, robotics, and industrial environments
- Work closely with experienced AI/ML, robotics, firmware, and hardware engineers
- High ownership and the opportunity to make a visible impact
- Fast-paced startup environment with significant learning and growth opportunities
- Opportunity to grow into AI/ML engineering, robotics, or technical leadership roles
Who Should Apply
We'd love to hear from you if you:
- Are genuinely passionate about Computer Vision and AI
- Enjoy building things and solving problems hands-on
- Like debugging complex vision systems and improving model performance
- Want to bridge AI/ML with physical systems and hardware
- Have built meaningful computer vision projects through work, internships, college, or independently
- Are excited about robotics, autonomous systems, or industrial automation
About Control One
Control One is a Bengaluru-based AI startup building intelligent systems for industrial automation.
We work at the intersection of robotics, computer vision, and real-world factory and warehouse environments, developing Vision AI products that make industrial equipment smarter, safer, and more productive.
From forklifts and material handling equipment to press and stamping lines, we build technology for the machines and people operating them every day.
