Amazon Senior Applied Scientist MENA Stores 

India, Telangana, Hyderabad 

466969227

Key job responsibilities
• Design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications.
• Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering.
• Invent, implement, and deploy cutting-edge machine learning algorithms and models to solve complex, real-world problems for our MENA customers.
• Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation.
• Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics.
• Stay up-to-date with the latest advancements in machine learning and data science, and proactively identify opportunities to apply these techniques to drive business impact.
• Contribute to the broader scientific community by publishing your work at top-tier conferences and journals.
A day in the lifeApplying relevant science solutions for the ML problems.
Staying abreast with evolving science landscape and applying the state-of-the-art.

- PhD, or Master's degree and 5+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- PhD, or Master's degree and 5+ years of building machine learning models for business application.
- Experience programming in Java, C++, Python or related language.
- Expertise in one of the applied science disciplines, such as machine learning, natural language processing, computer vision, or deep learning.
- Understanding of basic data structures, algorithms, model evaluation techniques, performance, and optimality trade-offs.
- Contribute to the broader scientific community by publishing your work at top-tier conferences and journals.
- Proficient in any two of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks.

- Familiarity with engineering and scientific method best practices, including design reviews, testing, and code reviews.