AI Research Engineer

What you'll do

• Read and critically analyze recent AI/ML research papers.
• Reproduce promising methods and establish strong baselines.
• Form hypotheses, design experiments, run ablations, and analyze results.
• Prototype novel architectures/algorithms and turn ideas into working implementations.
• Build reliable evaluation and benchmarking pipelines.
• Work with LLMs, multimodal models, agents, reasoning systems, retrieval/memory, and scientific AI depending on the research direction.
• Fine-tune and experiment with models using SFT/RL/post-training techniques.
• Run experiments efficiently across GPUs and distributed infrastructure.
• Maintain reproducible research code, datasets, experiment tracking, and documentation.
• Contribute toward research papers, technical reports, benchmarks and open-source releases.

A very strong fundamental in Mathematics, Probability and statistics and Deep learning is a must. I am looking for someone who enjoy understanding research papers,, questioning the existing approaches, implementing ideas from scratch.