AI Research Scientist

Iflowtech Solutions; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Iflowtech Solutions in Bangalore seeks an AI Research Scientist to join our R&D team. You will implement and customize cutting-edge AI research papers, optimize large-scale models, and build robust datasets for real-world generative AI and vision applications.

Responsibilities include training and evaluating models, conducting experiments, and collaborating with engineering to deploy research into scalable systems. A Ph.D.

Qualifications

• Ph.D. or Master’s degree in CS/AI/ML or related field.
• Proven experience implementing and customizing AI research papers.
• Hands-on with LLMs, vision models, and multimodal data.

Responsibilities

• Implement and customize cutting-edge AI papers into prototypes and production-ready models.
• Conduct performance experiments on large-scale models including fine-tuning and architecture changes.
• Develop training/evaluation datasets and data pipelines.
• Collaborate with engineering and product teams to deploy research outputs.

Skills

Research & experimentation

Multimodal systems

Python programming

Model optimization

Distributed training

Education

Ph.D. or Master’s in CS/AI/ML

Tools

PyTorch

TensorFlow

JAX

HuggingFace

Job description

AI Research Scientist

Bangalore 10+ Years

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