Senior ML/AI Engineer
Hyderabad, IndiaFull-timeMid · 5+ years
About this role
Summary
Build, train, and deploy machine learning models — with a focus on LLM fine-tuning and high-performance inference pipelines. You own models from experimentation through to reliable production serving.
Role Expectations
- Train, fine-tune, and evaluate models — including LLMs via full fine-tuning, LoRA/PEFT, and instruction tuning.
- Build and optimize inference pipelines for latency, throughput, and cost (batching, quantization, caching).
- Design data pipelines and datasets for training and evaluation; ensure data quality and reproducibility.
- Implement rigorous offline and online evaluation, benchmarking, and regression testing for models.
- Partner with platform engineers to deploy models to production with monitoring and rollback.
- Stay current with model architectures and translate research into practical improvements.
Required Skills
- 5+ years in ML/AI engineering; proven track record shipping models to production.
- Strong Python and deep learning with PyTorch; solid understanding of the Transformer architecture.
- Hands-on LLM fine-tuning experience (LoRA/PEFT, quantization, or full fine-tuning).
- Experience building inference/serving pipelines and measuring model performance.
- Comfortable with experiment tracking, versioning, and MLOps fundamentals.
Value adds:
- Distributed training experience (multi-GPU, DeepSpeed, FSDP).
- Publications, competition results, or notable open-source ML work.
- Experience with retrieval, embeddings, and evaluation frameworks.
Core Stack:
Python · PyTorch · Transformers · LLM Fine-Tuning · MLOps · Prompt Engineering