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Tier-1 brand, mid-level ML role in Bangalore with broad ML/DL requirements attracts many applicants.
Applied ML skills transfer across industries, but ads/recommendation and production experience add domain specificity.
Requires explicit 2-5 years, master's degree and demonstrable ML/DL product experience.
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Develop and deploy ML/DL solutions to enhance ads recommendation quality and campaign performance.
Mine large historical datasets to identify and solve business and customer experience problems.
Collaborate with engineers, PMs, and analysts to design and implement scalable, end-to-end inference solutions in logistics domain.
Masters degree in Applied Mathematics, Machine Learning, Statistics, or related fields.
2 to 5 years of industry or research experience in machine learning and data science.
Proven experience in shipping machine learning-based data products at scale.
Hands-on technical expertise in ML/DL applied to big data with knowledge of SDLC processes.
Experience in consumer product or internet/startup environments and comfort working cross-functionally with software and product teams.
Strong background in ads bidding algorithms, recommendation systems, and optimization techniques.
Capable of owning projects end-to-end, from ideation through delivery, with measurable impact on business metrics.