Senior Computer Vision Engineer

PURPOSE:

We are looking for an experienced professional to lead and execute end-to-end computer vision and video analytics initiatives, delivering production-grade AI solutions that drive actionable insights. 

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• 5+ years of experience in computer vision, deep learning, or video analytics with proven production deployments. 
• Strong expertise with modern vision architectures (YOLO, Faster/Mask R-CNN, Vision Transformers). 
• Proficient in deep learning frameworks such as TensorFlow and PyTorch. 
• Hands-on experience with real-time video pipelines, streaming architectures, and edge AI deployments (e.g., NVIDIA Jetson). 
• Practical experience in industrial vision systems (machine state detection, anomaly identification, production line monitoring, equipment performance analytics). 
• Demonstrated ability to lead technical projects and mentor junior talent. 
• Excellent communication and presentation skills for both technical and non-technical audiences. 
• Strong problem-solving skills and ability to architect scalable end-to-end solutions. 
• Experience working with distributed teams and offshore–onshore delivery models. 
• Strong organizational and time management abilities to manage multiple projects concurrently. 

KEY RESPONSIBILITIES:

• Lead: Lead end-to-end computer vision initiatives, from defining problem statements and preparing datasets to developing, training, and deploying advanced vision models. 
• Design & Optimize: Design, implement, and optimize algorithms for video-based object detection, tracking, action recognition, and real-time analytics across large-scale video streams. 
• Develop Pipelines: Develop robust, high-performance image and video processing pipelines using deep learning frameworks and GPU-accelerated technologies. 
• Collaborate: Collaborate with engineering teams to integrate computer vision models into production systems, ensuring scalability, reliability, and low-latency performance. 
• Mentor: Guide and mentor junior engineers and researchers, providing technical leadership, code reviews, and support to strengthen overall team capability. 
• Translate Requirements: Work closely with product, data, and solution teams to understand requirements, translate them into technical implementations, and deliver actionable vision-based insights. 
• Implement Best Practices: Implement best practices in model evaluation, versioning, optimization, and monitoring to ensure consistent model performance post-deployment. 
• Research: Stay current with emerging research in computer vision, video analytics, and deep learning, incorporating state-of-the-art techniques into ongoing projects. 
• Communicate: Communicate complex technical concepts and analytical results clearly to both technical and non-technical stakeholders. 

A Culture of Belonging: At our core, we value diversity and inclusion. As an equal opportunity employer, we are dedicated to creating a workplace where every voice is heard, every person is respected, and everyone has the opportunity to succeed.