Build and Improve Production AI Models
Design, train, fine-tune, and deploy state-of-the-art computer vision models for object detection, image understanding, and visual search
Improve model robustness across challenging real-world scenarios including varying lighting conditions, perspective changes, motion blur, occlusion, compression artifacts, and partial captures
Optimize inference performance for both edge and cloud deployments, balancing accuracy, latency, memory usage, and operational cost
Build a World-Class ML Platform
Develop data collection strategies that improve model performance and generalization
Create synthetic and augmented datasets to increase robustness across diverse operating conditions
Collaborate Across Engineering Teams

5+ years of experience building and deploying production machine learning systems
Strong expertise in computer vision, including object detection, image understanding, and visual embeddings
Experience training, fine-tuning, evaluating, and deploying deep learning models using real-world datasets
Hands-on experience with modern deep learning frameworks such as PyTorch or TensorFlow
Excellent Python development skills and the ability to work across multiple parts of the technology stack
Strong experience with AWS cloud services, including designing and deploying ML solutions using SageMaker, Lambda, S3 and related services.
Must be legally authorized to work in India

Senior AI/ML Engineer

Key skills