We are seeking a highly skilled AI/ML Engineer with expertise in camera ISP tuning to join our team. As an AI/ML Engineer, you will be responsible for developing and implementing advanced algorithms for camera image processing and ISP tuning. You will work closely with cross-functional teams to integrate AI/ML models into our camera systems, ensuring optimal image quality and performance.
Key Responsibilities:
- Develop and implement AI/ML models for camera image processing and ISP tuning, including but not limited to image denoising, demosaicing, and super-resolution
- Collaborate with camera hardware and software teams to integrate AI/ML models into camera systems
- Optimize AI/ML models for real-time performance, power consumption, and image quality
- Develop and maintain tools and scripts for data collection, annotation, and model training
- Stay up-to-date with the latest advancements in AI/ML and computer vision, applying that knowledge to continuously improve camera ISP tuning and image quality
- Collaborate with cross-functional teams, including camera engineering,



image processing, and testing teams

Requirements:
- Master's or Ph.D. degree in Computer Science, Electrical Engineering, or related fields
- 5+ years of experience in AI/ML, computer vision, or image processing
- Strong expertise in AI/ML frameworks, such as TensorFlow or PyTorch
- Proficiency in programming languages such as C++, Python, or C#
- Experience with camera ISP tuning, image processing, and computer vision
- Excellent problem-solving skills, with the ability to analyze complex imaging data and optimize image quality
- Robust collaboration and communication skills, with experience working with cross-functional teams

Nice to Have:
- Experience with deep learning frameworks, such as CNNs or RNNs
- Knowledge of camera module design and development
- Familiarity with software development and testing methodologies
- Certification in AI/ML or computer vision-related areas

📌 Camera ISP Tuning (Bengaluru)
🏢 KPIT Technologies
📍 Bengaluru