Lead -Applied AI Researcher

1 week ago

thiruvananthapuram, India Flytxt Full time

Mission StatementAs Applied AI Researcher, you will define and execute a research-intensive AI and data science agenda. You will lead foundational model research, drive agentic AI innovation, and publish advances that propel organizational leadership in enterprise-grade AI agent solutions.Role OverviewOwn the foundation model and agentic AI research roadmap, setting strategic direction for breakthrough innovations.Lead peer-reviewed research, drive early-stage experimentation, and steward integration of research outcomes into advanced agentic AI products and platforms.Mentor and inspire an elite research-oriented data science team.Research LeadershipShape and drive original research in foundation models, large-scale generative architectures, and agentic reasoning.Lead benchmarking, adaptation, and application of state-of-the-art generative models (e.g., LLMs, multimodal transformers) for new product capabilities.Publish high-impact research; foster industry-academic collaborations and represent Flytxt at AI conferences and global fora.Prototype, validate, and transfer novel agentic AI methods into enterprise contexts.Strategic ResponsibilitiesDevelop research frameworks, open science practices, and model governance for responsible AI innovation.Guide cross-functional research teams to integrate foundational advances into the organization's agentic AI platforms (e.g., Niya-X).Advise on strategic investments in AI infrastructure and drive adoption of pioneering algorithms and architectures.Qualifications & ExperienceMin 10 Years of progressive experience with below technical capabilities and prescribed qualificationsPhD (preferred) or Master's in Machine Learning, AI, Computer Science, Mathematics, or a related quantitative discipline.Peer-reviewed publications in top AI/ML conferences or journals.Domain and Technical SkillsHands-on expertise with AI development environments Experience developing, evaluating, and scaling foundation models such as LLMs or multimodal transformers.Familiarity with rapid prototyping and product development lifecycles in an innovation-driven research environment.Applied AI research experience.Behavioral CompetenciesStrong analytical, mentoring, and cross-team leadership skills.Ability to mentor, influence, and collaborate across multicultural, interdisciplinary research teams.Strong logical reasoning, decision-making, and strategic vision skills.

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