Company Description
Vision Logix is an innovative software development company specializing in Computer Vision (CV) solutions. We empower businesses across various industries to unlock the vast intelligence hidden within their visual data—images, videos, and real-time streams—and transform it into actionable insights and automated processes.
Role Description
We are looking for a skilled and passionate Computer Vision Engineer with 2+ years of professional experience to join our team. You will be responsible for designing, developing, and deploying robust computer vision and deep learning models for our products. This role is ideal for an engineer who is ready to take ownership of projects and contribute directly to production-ready systems.
Qualifications
- Experience : 2+ years of professional experience working as a Computer Vision Engineer or Machine Learning Engineer with a focus on computer vision.
- Education : Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related quantitative field, or equivalent practical experience.
- Programming Expertise : Strong proficiency in Python and extensive experience with core computer vision libraries, primarily OpenCV .
- Deep Learning Frameworks : Hands-on experience with at least one major deep learning framework : PyTorch (preferred) or TensorFlow / Keras .
- Model Development : Proven experience developing, training, fine-tuning, and evaluating state-of-the-art computer vision models for real-world applications.
- Maturity : Experience taking a model from the research / prototype phase through to a production environment.
Bonus Considerations
Experience with MLOps principles and tools for automated model deployment, scaling, and monitoring.Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes .Experience optimizing models for specific platforms, such as TensorRT , ONNX , or mobile / edge frameworks.Experience utilizing cloud computing platforms (e.g., AWS, Azure, GCP) for model training and deployment.Strong understanding of performance metrics beyond simple accuracy, such as mAP, IoU, recall / precision trade-offs, and inference time.Send your CVs to [HIDDEN TEXT]
Skills Required
Tensorflow, Gcp, Pytorch, MLops, Docker, Opencv, Keras, Azure, Kubernetes, Python, Aws