Data Engineer med fokus på machine learning
Core
Build robust data pipelines, automate data flows, and implement machine learning/LLM techniques to extract value from complex datasets.
Role type
Data Engineer with ML/LLM focus
Builds
Data pipelines, automated workflows, and ML/LLM solutions for data analysis
Domain
Data Engineering, Machine Learning, Large Language Models
Deliverable
production ML models
Required skills
Python, PySpark, Apache Airflow, data pipeline development, data quality assurance, machine learning, LLMs
Preferred skills
None stated
Technologies
Python, Pandas, PySpark, Apache Airflow
Responsibilities
Develop and maintain data pipelines for ingestion, processing, and transformation; Develop Python-based solutions for data processing and automation; Work on data quality, validation, and structuring from internal and external sources; Implement and extend automated workflows; Explore and apply ML and LLM techniques; Integrate processed data with downstream analysis tools and BI platforms; Debug, optimize, and ensure data flow quality and performance; Document solutions for long-term maintainability.