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

* Own the end-to-end science strategy for computer vision and machine learning solutions in the grocery domain, navigating ambiguity to identify the highest-impact opportunities * Develop novel approaches to complex, unsolved perception and identification challenges where off-the-shelf methods are insufficient; publish findings internally or externally to advance the state of the art * Define the evaluation framework and success criteria for model performance, establishing metrics that connect scientific outcomes to measurable business impact and using these to influence roadmap prioritization * Lead cross-functional technical design with engineering, product, and operations partners, driving architecture decisions for model serving, data pipelines, and system reliability at scale rather than solely handing off models for productionization * Identify and resolve ambiguous, cross-team technical dependencies (e.g., upstream data quality, annotation infrastructure, model interoperability) that block progress across multiple workstreams; propose and drive solutions proactively * Influence technical direction beyond the immediate team mentor scientists, raise the bar in hiri BASIC QUALIFICATIONS - 5+ years of building machine learning models for business application experience - PhD, or Master's degree - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience leading end-to-end science efforts from problem formulation through production launch - Hands-on experience building, training, and deploying computer vision models in production systems operating at scale on real-world, noisy data - Experience building and improving continuous model training pipelines, including human-in-the-loop annotation workflows, active learning, and data flywheel strategies that compound model quality over time - Demonstrated ability to work with multimodal d

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.