LLM R&D Specialist

IndiaAI is building India’s next-gen foundational LLMs. We’re looking for a hands-on Senior ML Engineer experienced in large-scale pre-training, distributed GPU systems, and data creation pipelines. You will work with Megatron-LM, NVIDIA NeMo, DeepSpeed, PyTorch Distributed, and SLURM to train 7B–70B+ models on multi-node GPU clusters. What You’ll Do Build & optimize LLM pre-training pipelines (7B–70B+). Implement distributed training using PyTorch Distributed, DeepSpeed (ZeRO/FSDP), Megatron-LM, NVIDIA NeMo. Manage multi-node GPU jobs via SLURM and optimize NCCL communication. Lead large-scale data creation, cleaning, deduplication, tokenization & sharding for multilingual datasets (with focus on Indian languages). Build high-throughput dataloaders, monitoring dashboards & training workflows. Collaborate with infra teams to optimize GPU utilization, networking, and storage systems. What You Bring 5+ years in ML Engineering / DL Systems. Prior experience training large transformer models (ideal: 7B+). Strong in NeMo, Megatron-LM, DeepSpeed, PyTorch Distributed. Experience with SLURM & multi-node GPU clusters (A100/H100). Understanding of transformer internals (attention, RoPE, FlashAttention, parallelism). Experience in data pipelines — cleaning, dataset assembly, tokenization. Bonus Skills Indic-language data experience MoE training Kernel-level optimization (Triton/CUDA) Open-source contributions (Megatron, NeMo, DeepSpeed, PyTorch)

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