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Tier-1 brand and Bengaluru location increase applicants, but high specialization reduces density.
Cutting-edge RL/LLM research and publication expectations demand deep ML research domain expertise.
PhD requirement, explicit eight-year experience, publication record, and specialized ML/RL skills create stringent filters.
Lead research and development of novel algorithmic architectures for autonomous agents using reinforcement learning and large language models.
Design, implement, and evaluate models, agents, and prototypes of large foundational models contributing to Artificial General Intelligence.
Communicate research findings internally and externally; collaborate with internal teams and external labs, including Responsible AI teams to ensure ethical AI development.
PhD in Computer Science, Artificial Intelligence, or related field, or equivalent practical experience.
Minimum 8 years of experience with machine learning frameworks such as JAX, TensorFlow, or PyTorch.
Experience with advanced deep learning and reinforcement learning techniques.
Publication record in reputable machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, KDD, AAAI).
Experienced researcher with strong background in reinforcement learning, large language models, and autonomous agent development.
Proven ability to independently design, implement, and evaluate cutting-edge machine learning models at scale.
Comfortable working collaboratively across research domains and with cross-functional teams on complex AI problems.