Computer Vision Engineer
Experience Required:
3 - 5 Years
Requirement:
We are looking for a passionate Deep Learning & Computer Vision Engineer to design, develop, and deploy advanced deep learning models and computer vision systems. You'll work in a fast-paced startup environment, handling multiple projects and making significant impact on cutting-edge AI solutions.
Roles & Responsibilities
Develop deep learning models for image classification, object detection, segmentation, and tracking
Build computer vision pipelines for real-time applications and automation systems
Research and implement cutting-edge AI techniques from research papers to production
Deploy and optimize models in cloud environments (AWS, GCP, Azure)
Work with large datasets and implement data augmentation techniques
Collaborate with cross-functional teams to integrate AI solutions into products
Monitor and maintain deployed models for optimal performance
Mentor junior developers and contribute to team growth
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3–5 years of professional experience in deep learning/computer vision
Technical Skills
Expert proficiency in Python
Experience with deep learning frameworks: TensorFlow, PyTorch, Keras
Strong knowledge of OpenCV and computer vision algorithms
Experience with neural architectures (CNNs, YOLO, ResNet, Transformers)
Cloud deployment experience (AWS, GCP, Azure)
MLOps knowledge (Docker, Git, CI/CD pipelines)
Production model deployment experience
Experience with ROS, robotics applications (preferred)
Knowledge of model optimization (quantization, pruning)
Edge deployment experience (TensorFlow Lite, ONNX)
Startup environment experience (preferred)
Open-source contributions or published research (preferred)
Functional Skils
Strong problem-solving and debugging skills
High attention to detail
Ability to work independently and manage deadlines
Strong time management and delivery ownership
Excellent written and verbal communication skills
Clear documentation and reporting abilities