Save Job Back to Search Job Description Summary Similar JobsLead AI research with direct enterprise impactShape next-gen agentic AI and model efficiencyAbout Our ClientThe Client is an AI-native enterprise technology company focused on domain-specialised AI agents and agentic AI platforms for large organisations. With operations spanning enterprise AI transformation, proprietary small language models, and secure AI deployments, The Client has built a strong position in enterprise AI and is backed by leading global investors and strategic technology ecosystem partnerships.Job DescriptionOwn the applied research roadmap for specialised AI models.Lead knowledge distillation and model compression initiatives.Design RLHF, RLAIF, DPO, and advanced preference-optimisation systems.Drive improvements in inference cost, latency, and throughput.Translate research concepts into production-ready AI solutions.Establish technical standards for applied machine learning.Mentor senior engineers and influence hiring decisions.Represent The Client through publications, conferences, and research collaborations.The Successful ApplicantWe're looking for someone who has:PhD required in Machine Learning, AI, NLP, RL, or related fields.8+ years of combined PhD and industry experience, or 5+ years post-PhD.Strong publication record or recognised open-source contributions.Proven experience deploying large-scale production ML systems.Deep expertise in PyTorch, Python, LLMs, model distillation, and optimisation.Hands-on experience with RLHF, PPO, DPO, RLAIF, or related approaches.Excellent technical communication, research judgement, and leadership skills.What's on OfferOne of the most senior individual contributor AI roles in the organisation.Opportunity to influence AI research strategy and platform direction.Work on cutting-edge agentic AI, model compression, and inference economics.High visibility with leadership and industry research communities.Direct ownership of AI innovations that impact enterprise customers globally.If this role fits your experience, you can apply for the role.Quote job refJN-102026-7133274Job summaryFunctionAnalyticsSub SectorMachine LearningWhat is your area of specialisation?Technology & TelecomsLocationBangaloreJob TypePermanentJob ReferenceJN-102026-7133274