Computer Vision Engineer

About the Role:

We are seeking a highly skilled Computer Vision Engineer with 2–5 years of experience to join our team and develop state-of-the-art computer vision solutions. The ideal candidate will be responsible for designing, developing, and deploying machine vision algorithms to solve real-world problems in areas such as object detection, tracking, recognition, and image/video analytics.

You will work closely with data scientists, ML engineers, and software developers to bring innovative computer vision applications to production.

Key Responsibilities:

• Design and implement computer vision algorithms for image and video processing.
• Develop models for object detection, segmentation, and classification using frameworks like OpenCV, TensorFlow, or PyTorch.
• Preprocess and annotate image/video datasets for model training and evaluation.
• Optimize vision models for speed, accuracy, and real-time performance (edge and cloud).
• Integrate computer vision pipelines into production systems (APIs, embedded devices, or cloud services).
• Collaborate with cross-functional teams (hardware, software, and product) to ensure seamless deployment.
• Stay up to date with research in computer vision, deep learning, and AI technologies.
• Debug, profile, and optimize code for computational efficiency.

Required Skills & Qualifications:

Education:

Bachelor’s or master’s degree in computer science, AI/ML, Robotics, or a related field.

Experience:

2–5 years of hands-on experience in computer vision and deep learning.

Technical Skills:

• Strong proficiency in Python or C++.
• Expertise in OpenCV, NumPy, and image/video processing libraries.
• Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
• Familiarity with computer vision tasks (object detection, tracking, OCR, 3D visions).
• Strong understanding of linear algebra, image processing, and machine learning fundamentals.
• Experience with GPU acceleration (CUDA, TensorRT) is a plus.
• Familiarity with cloud platforms (AWS, GCP, Azure) and deploying ML models to production is a plus.
• Knowledge of version control (Git) and CI/CD practices.

Soft Skills:

• Strong problem-solving skills and ability to work on challenging, open-ended problems.
• Excellent communication skills and a collaborative mindset.
• Passion for innovation and staying updated on the latest research in AI and computer vision.

Nice-to-Have:

• Experience with edge AI deployment (NVIDIA Jetson, OpenVINO, TFLite).
• Experience with 3D vision, SLAM, or AR/VR applications.
• Background in robotics, autonomous systems, or video analytics.

Compensation & Benefits:

• Competitive salary and performance-based incentives.
• Opportunity to work on cutting-edge AI/ML applications.
• Professional development budget for conferences, research papers, and courses

Job Type: Full-time

Work Location: In person