Mid-Senior AI / Data Engineer - Python, ML, LLMs & Data Pipeline Automation

Role overview

About the Role We are looking for a skilled Mid-Senior AI / Data Engineer with a strong software engineering background to design, develop and automate data processing pipelines using traditional machine learning models and modern generative AI technologies. The ideal candidate has hands-on experience building data pipelines, integrating ML models and LLMs into automated workflows and delivering reliable, scalable solutions. We value practical engineering skills, problem-solving ability and real project experience over years of experience or specific job titles. Engineers with fewer years of professional experience are welcome to apply if they can demonstrate strong technical capabilities. Please note that some of our business requirements have recently changed. The updated project scope and expectations will be discussed during the interview. Key Responsibilities Design, build and maintain scalable ETL/ELT pipelines for structured and unstructured data. Automate data ingestion, cleansing, transformation, classification and enrichment. Integrate traditional machine learning models and generative AI/LLMs into data processing workflows.

Relevant technologies and specialties