Description

You will build and implement LLM-driven products and AI solutions from the ground up.

Responsibilities

• Design and implement scalable AI systems and products.
• Fine-tune Transformer models for NLP tasks like text classification and summarization, or Computer Vision tasks like image generation and recognition.
• Analyze open source code repositories and research to implement new solutions.
• Manage data pre-processing, feature engineering, and training workflows.
• Deploy models using Flask, FastAPI, or cloud-based inference services.

Required Skills

• 3+ years of hands-on experience in AI/ML.
• Proven experience with Transformer architectures including BERT, GPT, T5, ViTs, or Small LLMs.
• Strong proficiency in Python.
• Deep learning framework expertise in PyTorch or TensorFlow.
• Experience with GPU acceleration, optimization techniques, and model quantization.
• Practical experience deploying models via Flask or FastAPI.
• Solid understanding of Transformer architecture.
• Strong programming and problem-solving abilities.

Key Skills

Education

Any Graduate