AI Engineer

Responsibilities :

• Build and evaluate prototypes / POCs for generative AI features and ideas.
• Fine-tune and adapt open-source LLMs and smaller generative models for specific use cases.
• Collaborate on multimodal experiments involving text, image, and audio data.
• Implement data preprocessing, augmentation, and basic feature engineering for model inputs.
• Design and run experiments, define evaluation metrics, perform ablations, log results, and iterate on models.
• Optimize inference and memory footprint using techniques such as quantization, batching, and basic distillation.
• Contribute to model training pipelines, scripting, and reproducible experiments.
• Work with cross-functional teams (product, infrastructure, MLOps) to prepare prototypes for deployment.
• Write clear documentation, present technical results, participate in code reviews, and share knowledge with the team.
• Continuously learn by exploring research papers, new tools, and innovative approaches in AI.

Mandatory Technical Skills :

Skills Required

Python, Pytorch, Tensorflow, Aws