Engineering Manager - Computer Vision

This is for one of the TOP MNC Client

AI Engineering Manager/ Technical Leader (Computer Vision)

Location: Bengaluru

We are looking for a highly skilled Computer Vision leader to join our product development team. As a Technical Leader- Computer Vision, you will be responsible for envisioning, architecting, designing, and directing a talented team of Machine Vision / AI Engineers in advanced Machine Vision algorithms and systems that enable machines to interpret and understand visual information from the industrial world.

The Industrial Computer Vision team at Avathon addresses hard, novel challenges that arise in product development. You'll bring your deep knowledge and proven machine learning expertise to develop cutting edge solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of the intersection of Machine Vision and Software Engineering. You shall also have the inclination, and experience to conduct research that solves practical problems, have the communication skills to work closely with both research colleagues and customers.

Key Responsibilities:

• Lead, mentor, and grow a team of AI engineers working on computer vision, deep learning, and backend services. Oversee the end-to-end development lifecycle of computer vision models and scalable backend systems.
• Drive technical strategy and roadmap for AI-driven visual perception and backend solutions.
• Collaborate with cross-functional teams, including product management, data science, and UX design, to align business goals with engineering execution.
• Establish best practices for model development, API design, scalability, and performance optimization.
• Ensure adherence to ethical AI practices, fairness, and bias mitigation in computer vision applications.
• Stay up to date with the latest advancements in AI, computer vision, and backend technologies, incorporating new techniques where relevant.
• Drive operational excellence, including monitoring system performance, reliability, and security. Ensure adherence to accessibility, security, and compliance standards.
• Establish best practices for mobile architecture, development, and DevOps pipelines

Required Qualifications:

• Bachelor's or master's degree/ PhD in computer science, AI, Machine Vision Learning, or a related field.
• 8+ years of experience in software engineering, with at least 3+ years in a leadership role as a Principal Engineering or Lead Scientist or Lead Development Engineer
• Good expertise in computer vision, deep learning, and AI model development. Preferably experience in YOLO object detection algorithm or similar Convolutional Neural Network algorithms. Experience in Deep Learning algorithms, experience with GPU programming
• Proficiency in Python, C++, or another relevant programming language. Preferably experience in YOLO object detection algorithm or similar Convolutional Neural Network algorithms
• Experience with cloud-based AI solutions (AWS, GCP, or Azure) and scalable backend infrastructure.
• Oversee the end-to-end development lifecycle of mobile applications, from design to deployment.