Senior ai research scientist (Madhya Pradesh)

Senior ai research scientist (Madhya Pradesh)

10 Sep
|
Mindfire Solutions
|
Madhya Pradesh

10 Sep

Mindfire Solutions

Madhya Pradesh

About the Job
We are seeking a Senior AI Research Scientist with deep expertise in up-to-date foundation models and advanced neural-network architectures. The ideal candidate understands large language models, diffusion and flow-based generative models, state-space models (SSMs), Transformer-SSM hybrids, mixture-of-experts systems, synthetic-data training, and distributed neural-network inference.
This is a hands-on research role for someone who can move comfortably between mathematical theory, rigorous experimentation, prototype implementation, and production collaboration. You will investigate new architectures and training methods while helping build systems that operate efficiently across GPUs, CPUs, NPUs, personal computers, edge devices, private servers, and distributed clusters.
Your work should lead to measurable improvements in model quality, reasoning, latency, throughput, memory use, energy efficiency, privacy, reliability, and total cost of operation. You will have significant influence over product's long-term technical direction and research roadmap.




Key Research Areas
The role will contribute across several of the following areas, with deep specialization expected in at least two:
Large language models and multimodal foundation models Transformer alternatives and attention-efficient architectures State-space models, including selective SSMs and Mamba-style architectures Hybrid Transformer-SSM, recurrent, sparse, and modular model designs Diffusion, discrete diffusion, flow matching, and multimodal generative systems Mixture-of-experts models, expert routing, modular networks, and conditional computation Synthetic data, model-generated supervision, self-training, and knowledge distillation Distributed inference across heterogeneous and intermittently available devices Memory-efficient inference, KV-cache management, long-context execution, and model sharding Quantization, sparsity, pruning, low-rank adaptation, and dynamic adapter routing Agentic models, t

📌 Senior ai research scientist (Madhya Pradesh)
🏢 Mindfire Solutions
📍 Madhya Pradesh

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