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 Masters 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.