Computer Vision Engineer

• *About Company**

CogniForge Technologies (CFT) is a boutique AI consulting and product firm focused on embedded intelligence, smart automation, and real\-time edge computing. The team helps organizations turn raw data into decisions by integrating AI into everyday systems and workflows. CFT builds solutions that improve operational speed, safety, and reliability across environments such as factory floors and connected devices. The company emphasizes solving real\-world problems with precision, measurable impact, and production\-grade engineering. Applicants can expect to work in a setting that values technical depth, practical innovation, and close collaboration with clients.

• *Role \& Responsibilities:**

• Design, develop, and optimize computer vision and AI solutions for real\-time industrial and edge\-based deployments.
• Work with CCTV cameras, industrial cameras, and machine vision systems for inspection, monitoring, detection, and automation applications.
• Develop and maintain computer vision pipelines for tasks such as object detection, defect detection, tracking, recognition, and quality inspection.
• Work on industrial AI use cases including PCB defect detection, surface defect inspection, harness inspection, and automated visual quality control systems.
• Integrate RTSP/IP camera streams and optimize video processing pipelines for real\-time performance and reliability.
• Train, evaluate, and fine\-tune deep learning models using frameworks such as PyTorch and TensorFlow.
• Deploy and optimize AI models on edge devices and embedded systems for low\-latency real\-time inference.
• Perform image processing, data annotation planning, dataset preparation, and model benchmarking for production\-ready AI applications.
• Collaborate with cross\-functional teams to understand business requirements and deliver scalable AI\-powered solutions.
• Write clean, efficient, and maintainable code while contributing to technical documentation, testing, and performance optimization.

• *Qualifications**

• Strong foundations in **Computer Science**, including algorithms, data structures, software design, and proficiency in languages such as Python and C\+\+.
• Hands\-on expertise in **Computer Vision** and **Pattern Recognition**, including classical vision techniques and deep learning\-based methods (e.g., detection, segmentation, tracking).
• Experience applying **Data Science** practices to vision problems, such as dataset curation, exploratory analysis, model evaluation, and performance tuning.
• Exposure to real\-time systems, with an understanding of sensor integration, perception pipelines, and deployment on embedded or edge platforms.
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field (or equivalent practical experience).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and common vision libraries (e.g., OpenCV).
• Familiarity with optimization and deployment tools for edge/embedded systems (e.g., ONNX, TensorRT, hardware accelerators) is a plus.
• Ability to work collaboratively in a lab\-style environment, communicate technical concepts clearly, and take ownership of end\-to\-end solutions.

Pay: ₹25,000\.00 \- ₹33,000\.00 per month

Application Question(s)

• Have you worked with CCTV cameras, industrial cameras, or machine vision cameras?
• Have you worked on defect detection or industrial inspection systems?
• Do you have experience with PCB defect detection or surface inspection projects?
• Have you worked on edge devices or embedded AI systems?
• Are you comfortable working in between 25k to 30k per month

Work Location: In person