Artificial Intelligence Engineer

Job description :

Role & responsibilities :

- Proven experience with NLP or Computer Vision - from experiments to production

- Deep fluency in PyTorch/TensorFlow, model training, fine-tuning, and deployment

- Passion for reading research and translating papers into working experiments

- A knack for solving tough problems fast and building scalable AI solutions

Bonus points for :

- Running real-world projects using GPT-4, BERT, or Stable Diffusion

- Familiarity with MLOps and cloud platforms (AWS/GCP).

What you will learn :

- Fine-tune Large Language Models for content, engagement, and reasoning tasks

- Build vision systems using architectures like Stable Diffusion and Vision Transformers

- Create robust datasets, pipelines, and RAG setups that turn GenAI ideas into scalable systems

- Innovate across prompt engineering, model optimization (LoRA/QLoRA), and multimodal AI

- Develop practical AI agents and intelligent content-generation workflows

Education :

UG : B.Tech / B.E. in Any Specialization