Research Scientist

Title:

AI Research Scientist We are seeking a highly skilled and innovative Research

Scientist specializing in Artificial Intelligence to join our R&D team. This role is ideal

for someone with deep expertise in implementing and customizing state-of-the-art AI

research papers, optimizing large-scale models, and building robust datasets. You

will work on real-world applications of generative AI, large language models (LLMs),

and computer vision systems, contributing directly to the development of scalable

and impactful AI solutions. Key Responsibilities 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: Stable 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 & Biases, MLflow, TensorBoard. Internal - General Use AI

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.

Pay: ₹412,094.63 - ₹1,551,359.38 per year

Application Question(s):

• Immediate to max 30 days preferred

Education:

• Master's (Preferred)

Experience:

• Large Language Models (LLMs): 10 years (Preferred)

Work Location: In person