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Tier-1 brand and Bangalore metro increase competition, despite niche senior research focus reducing applicant pool.
Highly specialized ML research and agentic AI expertise restricts transferability across industries.
Explicit 9+ years, advanced degree, and strong publication record make filters very strict.
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Lead foundational and applied research to develop novel model architectures and learning algorithms for agentic AI and intelligent systems.
Design and conduct rigorous experiments to validate new approaches and translate research advances into product features.
Drive advancement in AI agent capabilities across areas such as reasoning, planning, memory, tool use, multimodal intelligence, and long-horizon tasks.
9+ years of hands-on machine learning engineering experience in industry or research.
MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field with significant industry or research experience.
Strong fundamentals in machine learning, deep learning, optimization, and statistical modeling.
Demonstrated research experience with Large Language Models, generative modeling, NLP, computer vision, multimodal learning, representation learning, reinforcement learning, or reasoning and planning.
Experienced in formulating novel AI research problems and developing innovative approaches with measurable impact.
Proficient at designing rigorous experimental methodologies and translating research prototypes to product-level solutions.
Skilled at leading technical design reviews, mentoring engineers, and collaborating cross-functionally to deliver AI research innovations.