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.
