Applied Scientist

Applied ScientistLocation: Bangalore / HybridTeam: AIRole OverviewWe are seeking an Applied AI Scientist to work on end-to-end applied research and build scalable AI systems using Machine Learning, Deep Learning, and Large Language Models (LLMs). This role focuses on transforming complex problems into practical, high-impact solutions through research, experimentation, and engineering.Key ResponsibilitiesDesign and execute applied research projects using ML, DL, and LLM techniquesCollaborate with cross-functional teams to define open-ended problems and deliver data-driven solutionsDevelop, prototype, and optimize models on large-scale structured and unstructured datasetsContribute to internal research infrastructure, tools, and model deployment pipelinesStay up to date with advancements in AI research and industry best practicesTranslate research findings into reliable, production-ready systemsWhat You’ll GainExposure to real-world applied AI challenges with measurable impactAccess to large datasets and high-performance computing resourcesA collaborative environment that values research rigor and innovationOpportunities for mentorship, knowledge sharing, and professional growthSupport for publishing, open-source contributions, and external collaborationsQualificationsPhD or Master’s degree in Computer Science, Applied Mathematics, Statistics, Physics3+ years of experience building ML, DL, RL, or LLM-based systems in research or industryStrong foundation in statistics, optimization, and numerical methodsExperience with time-series modeling, NLP, or high-dimensional dataProficiency in Python and ML frameworks such as PyTorch, TensorFlow, JAX, or Hugging FaceFamiliarity with distributed training, MLOps practices, and version control (Git)Strong communication and collaboration skillsPreferred QualificationsPublications in leading AI conferences (NeurIPS, ICML, ICLR, KDD, etc.)Experience working with large-scale or noisy datasetsBackground in applied research environments

Apply Now