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Strong employer brand and metro location increase competition, but niche ML/research specialization limits applicant density.
Applied research and ML engineering skills transfer across industries but require specific ML expertise, so medium sensitivity.
Specialized ML/LLM and programming requirements imply technical screening and moderate shortlisting strictness.
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Develop and improve machine learning models focused on product similarity and price recommendations impacting global customer experience.
Collaborate with engineers and scientists to design and deploy end-to-end solutions in production environments.
Contribute to research, experimentation, and the future roadmap of science within Competitive Monitoring Technology (CMT).
Proficiency in programming languages such as Java, C++, Python or related languages.
Experience with SQL and working knowledge of RDBMS (e.g., Oracle) or Data Warehouse technologies.
Work Experience Required: Not explicitly mentioned in the JD.
Willingness to learn and engage with ML engineering concepts beyond applied science roles.
Has practical experience implementing algorithms using both existing toolkits and custom code.
Comfortable working in collaborative, iterative environments that value experimentation and rapid learning.
Skilled in writing maintainable, reusable code and communicating technical work through documentation and presentations.