Senior Applied Scientist, Amazon India Machine Learning (International Consumer), Bengaluru
Job Description
Amazon’s Machine Learning team for its India consumer businesses is hiring a senior applied scientist in Bengaluru. The team applies machine learning and statistics across a broad set of problems: product bundle recommendations for millions of products, risk models that safeguard financial transactions, extracting product attributes from structured and unstructured data to improve the catalogue, and better address suggestions for customers.
At a glance
- Role: Senior Applied Scientist, International Machine Learning
- Posted: 25 August 2026
- Focus: Recommendations, risk models, catalogue attribute extraction, address quality
- Location: Bengaluru, Karnataka, India
- Job ID: 10513309
- Apply: open until filled (re-checked 13 October 2026)
About the India machine learning role
- Build and deploy ML systems that optimise millions of transactions a day
- Analyse and model very large datasets to solve real business problems
- Own end-to-end business problems and metrics
- Work on recommendations, financial risk, catalogue quality and address quality
- Mentor other scientists
What Amazon is looking for
- At least 6 years of building machine learning models for business applications
- Programming in Java, C++, Python or a related language
- Experience with neural deep learning methods and machine learning
- A master’s degree or PhD
Nice to have
- Modelling tools such as R, scikit-learn, Spark MLlib, MXNet, TensorFlow, NumPy and SciPy
- Large-scale distributed systems such as Hadoop and Spark
Pay and location
Amazon’s posting does not state a salary; pay is discussed during the hiring process. The role is based in Bengaluru, India.
How to apply
Apply through the official Amazon job posting. Amazon’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 13 October 2026. Amazon lists the minimum and preferred qualifications on the posting; read both before applying. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Amazon
Official advertisement: www.amazon.jobs
How to prepare for this application
- Breadth matters: the team covers recommendations, risk and NLP extraction; show range.
- Business impact: prepare a story where your model moved a business metric, with numbers.
- Seniority: be ready to discuss mentoring and technical direction.
- India context: think about multilingual catalogues and messy address data.
- Leadership Principles: Amazon interviews lean on them; prepare two or three STAR stories for each.
About Amazon in India
Amazon runs large science and engineering teams in India, including in Bengaluru, Hyderabad, Chennai, Pune and Gurugram. Applied scientists and data scientists work on machine learning problems across retail, logistics, advertising, devices, payments and cloud services.
