Applied Scientist II, Grocery, Retail & In-Store Experience (GRAISE)

Design, train, and evaluate computer vision and machine learning models for complex grocery-domain problems including product identification, shelf perception, and in-store scene understanding — iterating rapidly from prototype to production-quality solutions Conduct rigorous exploratory data analysis to characterize domain-specific challenges (image variability, catalog gaps, label noise) and translate findings into actionable modeling decisions Own the model development lifecycle from experimentation through deployment — collaborating with software and ML engineers to ensure models meet latency, throughput, and reliability requirements at production scale Design and execute offline and online evaluation frameworks — defining metrics that capture both model performance and downstream business impact, and diagnosing failure modes to prioritize improvements Build and improve data pipelines and annotation workflows that feed model training, including active learning strategies to maximize label efficiency Communicate technical results, trade-offs, and recommendations clearly to engineering, product, and business stakeholders — connecting model behavior to customer ex BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - 2+ years of hands-on experience building and deploying computer vision models (object detection, image classification, segmentation, or visual search) on real-world data beyond academic benchmarks - Demonstrated ability to take a model from research prototype to production deployment — including performance profiling, latency optimization, and working within serving infrastructure constraints - Practical experience with noisy, imperfect, or sparse training data — including techniques such as s

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.