Computer Vision Engineer

This role focuses on building and deploying real-world computer vision systems, combining deep learning, image processing, and scalable software to power intelligent visual applications.

We are seeking a driven and detail-oriented Computer Vision Engineer (Software Developer) with hands-on experience in Python and exposure to real-world vision applications. The ideal candidate will have experience building, training, and deploying computer vision models, with an interest in working on scalable solutions for industrial use cases such as detection, tracking, and automation. Experience with NVIDIA DeepStream for real-time video analytics is a plus. You will work on systems that process and interpret visual data using AI, deep learning, and image processing techniques.

Key Responsibilities

• Develop and deploy computer vision models for tasks such as object detection, segmentation, and tracking.

• Work with image and video datasets, including preprocessing, annotation, and augmentation.

• Implement solutions using Python-based frameworks such as OpenCV, PyTorch, and TensorFlow.

• Optimize models for real-time inference and performance.

• Integrate vision models into production systems and APIs.

• Work on edge deployments and leverage GPU acceleration.

• Build and deploy pipelines using NVIDIA DeepStream SDK. (Preferred)

• Collaborate with cross-functional teams including backend, hardware, and AI teams.

• Debug, test, and continuously improve model accuracy and robustness.

• Stay updated with the latest advancements in AI and computer vision.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.

• 0-2 years of experience in software development (internships/projects will be considered).

• Strong understanding of computer vision fundamentals, image processing techniques, and deep learning concepts (CNNs, YOLO, etc.).

• Hands-on experience with Python libraries such as OpenCV and NumPy.

• Experience with deep learning frameworks like PyTorch or TensorFlow.

• Understanding of model training, evaluation, and optimization.

• Experience handling large datasets and annotation workflows.

• Basic familiarity with Linux environments.

• Strong problem-solving and debugging skills.

Preferred

• Experience with NVIDIA DeepStream SDK.

• Familiarity with GStreamer pipelines and CUDA / GPU optimization.

• Experience working with Docker.

• Exposure to REST APIs or frameworks like FastAPI.

• Experience with edge AI deployments (e.g., Jetson devices).

• Familiarity with MLOps practices or model deployment pipelines.

What we Offer

• Exposure to real-world machine learning product development.

• Work directly with the Co-founder and Senior Developer on high-impact projects.

• Exposure to multimodal, real-world AI problems that go beyond typical datasets.

• Fast-paced environment with room for innovation, autonomy, and career growth.