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Tier-1 brand and metro location, but senior niche ML research role reduces generalist competition.
Advanced ML research skills are transferable across industries but require domain-relevant large-scale experience.
Explicit 8+ years requirement, ML research expertise and academic credentials raise shortlisting strictness.
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Lead end-to-end applied research initiatives from problem formulation to experimentation, model development, and real-world validation.
Develop and evaluate advanced machine learning models for image, text, and multimodal applications using large-scale datasets.
Collaborate with product and engineering teams to translate research innovations into measurable customer and business impact.
Master's degree required; PhD preferred in Computer Science, Machine Learning, AI, or related field.
8+ years of experience in applied research, machine learning, or related data-driven domains.
Strong programming skills in Python and solid foundations in machine learning and statistics.
Experience collaborating with product and engineering stakeholders to implement research solutions.
Experienced applied ML researcher comfortable handling complex, open-ended problems with scientific rigor and experimental validation.
Capable of driving research from academic exploration to practical production adoption in a large-scale real-world environment.
Skilled in cross-functional collaboration bridging research, engineering, and product teams to deliver impact.