Research Scientist

Iflow; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Iflow is seeking an AI Research Scientist in Bengaluru to translate cutting-edge research into production-grade AI models. You will drive experiments on large-scale systems, including training, fine-tuning, and multimodal architectures, collaborating with engineering and product teams.

The role requires deep expertise in Python, PyTorch, and modern AI tooling, plus hands-on work with LLMs, vision and generative models.

Qualifications

• Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience implementing and adapting cutting-edge AI research papers from top conferences.

Responsibilities

• Implement and customize AI research papers into prototypes and production-ready models.
• Perform performance experiments on large-scale models including fine-tuning, prompts, and architecture changes.
• Develop and manage training/evaluation datasets and benchmarks.
• Collaborate with engineering and product teams to deploy research outputs into scalable systems.
• Stay updated with AI advancements and contribute to internal strategy.
• Document experiments, share insights, and support patent filings and reports.

Skills

Python

PyTorch

TensorFlow

JAX

Hugging Face

LLMs

Vision Models

Generative Models

Multimodal Systems

Model Optimization

Distributed Training

Data Tools

Education

PhD or MS in CS/AI

Tools

Weights & Biases

MLflow

TensorBoard

DVC

Label Studio

Job description

AI Research Scientist

7-9 Years | Bangalore

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.

Additional Experience

• 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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