Senior ML Engineer – LLM Pre-Training, Distributed Training & Data Pipeline

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 DoBuild & 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 Bring5+ 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 SkillsIndic-language data experienceMoE trainingKernel-level optimization (Triton/CUDA)Open-source contributions (Megatron, NeMo, DeepSpeed, PyTorch)

Apply Now