AI Research Scientist

7-9 Years

Bangalore

- Implement and customize cutting-edge AI research papers into working prototypes and production-ready models.
- Conduct performance improvement experiments on large-scale models, including fine-tuning, prompt engineering, and architecture modifications.
- Develop and manage training and evaluation datasets, including synthetic data generation, annotation pipelines, and benchmark creation.
- Collaborate with engineering and product teams to deploy research outputs into scalable systems.
- Stay up-to-date with the latest advancements in AI and contribute to internal research strategy.
- Document experiments, share insights, and support innovation through patent filings and technical reports.

Required Qualifications

- Ph.D. or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience in implementing and customizing AI research papers (e.g., from arXiv, NeurIPS, ICML).
- Hands-on experience with Large Language Models (LLMs): GPT, LLaMA, Mistral, Falcon.




- Experience with Vision Models: ViT, SAM, CLIP.
- Experience with Generative Models: Reliable Diffusion, DALL E, GANs.
- Experience with Multimodal Systems combining vision, language, and audio.
- Proficiency in Python, PyTorch, TensorFlow, JAX.
- Experience with Hugging Face Transformers, Diffusers, OpenAI Gym.
- Experience with Weights C Biases, MLflow, TensorBoard.
- Experience with Distributed training: DeepSpeed, FSDP, Horovod.
- Knowledge of Model optimization: quantization, pruning, distillation.
- Experience with Data tools: DVC, Apache Arrow, Label Studio. Strong understanding of evaluation metrics, benchmarking, and reproducibility

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