Applied Scientist

Hiring: Applied Scientist | Bangalore (Hybrid)

We are seeking exceptional Applied Scientists to join a high-impact ML/LLM/DL research team working on advanced large-scale modeling challenges. This is a hands on research role where you will independently drive end-to-end initiatives from conceptualization and experimentation to production deployment. Your work will directly influence real-time, scalable ML systems. Key Responsibilities Design and execute end-to-end applied ML/DL/LLM research projects Build predictive and signal extraction models using large-scale datasets Apply Reinforcement Learning and deep learning techniques to complex dynamic systems Prototype, validate and optimize models in scalable computing environments Translate research outcomes into robust, production grade systems Qualifications PhD or Master’s degree in Computer Science, Mathematics, Statistics, Physics, or a related quantitative discipline 3+ years of applied experience in ML, RL, LLM or DL systems Strong expertise in time-series forecasting, probabilistic modeling and natural language processing Publications in leading conferences (NeurIPS, ICML, ICLR, KDD, UAI) preferred Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, JAX or Hugging Face Experience with distributed training, version control (Git) and MLOps best practices Experience working with high-dimensional, noisy datasets Mandatory Requirement: Strong foundation in Mathematics, Statistics, Probability and Stochastic Processes.