Requirements

Expected technologies

Python

PyTorch

Hugging Face Transformers

NLP

LLM

Operating system

Linux

Our requirements

• Over 4 years of professional experience working on machine learning or ML-driven software engineering projects
• Bachelor’s degree in Computer Science, Mathematics, or a closely related discipline
• Strong programming skills, particularly in Python
• Proficiency in machine learning and deep learning frameworks such as PyTorch or similar
• Familiarity with modern NLP libraries and toolkits, including Hugging Face Transformers
• Practical experience in Natural Language Processing and/or Information Retrieval
• In-depth knowledge of deep learning techniques and architectures
• Strong algorithmic thinking and problem-solving abilities

Optional

• Hands-on experience working in a Linux environment
• Background in designing efficient algorithms and data structures
• Experience developing solutions powered by Large Language Models (LLMs)
• Familiarity with deploying and running inference using serving engines
• Track record of published research in areas related to the role

Your responsibilities

• Designing and refining solutions that leverage Large Language Models (LLMs)
• Developing and enhancing machine learning and deep learning pipelines for training, testing, and inference on modern GPU/CPU hardware and in cloud-based environments
• Creating ML/DL systems tailored to meet production-grade performance and scalability needs
• Building and improving data and inference pipelines for deployment in production environments
• Bringing AI and ML models into production environments to deliver real-world value
• Conducting data analysis, preprocessing, and preparation, including dataset transformation and initialization