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)

Apply now to help build India’s national-scale foundational AI models.