Job Description

You can:

•Create and analyze datasets for Large Language Model (LLM) training and customization

• Develop and implement LLM-based language technologies

• Evaluate commercially available and open-source LLM solutions

• Collaborate with interdisciplinary teams to integrate LLMs into products and services

• Track recent developments in AI and contribute to the preparation of research publications

Requirements

A degree in Computer Science, Data Science, Mathematics, or a related field
Practical experience with Python and PyTorch, and the ability to use Linux command-line tools
A solid understanding of neural network architecture, training techniques, and quantization methods
Experience working with large-scale datasets
Excellent cooperation and communication skills
Proficiency in English for professional communication

Nice to have

Experience in conducting research, planning experiments, and publishing results in the field of Natural Language Processing (NLP) or Machine Learning (ML)
Knowledge of cloud platforms for model deployment and scaling (e.g., AWS, Azure, or GCP)