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Senior, niche ML role at a mid-tier employer in Bangalore — moderate applicant competition.
Core ML/AI skills transfer across industries, but security-product context increases domain specificity.
Explicit degree-plus-years bands and production ML requirements create rigid shortlisting filters.
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Develop, deploy, and maintain machine learning and deep learning algorithms for complex problem solving in production environments via APIs, embedded software, or standalone applications.
Lead data science projects to optimize business impacts and advise teams on machine learning best practices ensuring quality and compliance.
Create data modeling processes and communicate complex statistical models to non-technical audiences through data visualizations and collaboration with engineering teams.
Mandatory Programming: Python, R, SQL.
Strong foundation in statistics, probability, and machine learning.
Education and Experience: BS + 12 years OR MS + 7 years OR Ph.D + 6 years in relevant field.
Work Experience Required: Explicitly specified by education level (see above).
Senior-level data scientist capable of independent ownership of end-to-end ML lifecycle including design, deployment, and enhancement of ML solutions in production.
Experienced working in agile software development teams with strong cross-functional communication skills connecting technical and non-technical stakeholders.
Proven innovator with notable contributions in data science technologies, possibly including patents or publications.