Description

You will design and implement LLM-driven synthetic data pipelines to generate large-scale training datasets.

Responsibilities

• Build and deploy generative AI models, including diffusion models and LLMs, for machine learning use cases.
• Fine-tune and optimize large language models for specific downstream tasks and performance.
• Develop scalable data pipelines to support end-to-end training, evaluation, and inference workflows.
• Conduct exploratory data analysis to identify enhancements for models or datasets.
• Collaborate with researchers, engineers, and program managers to deliver ML solutions.

Required Skills

• Expert-level proficiency in Python.
• Strong capability in deep learning frameworks, specifically PyTorch.
• Proven experience working with diffusion models or large language models (LLMs).
• Experience designing and implementing synthetic data pipelines.
• Strong analytical and debugging skills.
• Bachelor’s degree in computer science or a related technical field.
• 5+ years of professional experience.

Key Skills

Education

Any Graduate