Real-Time Data Pipeline for Enhanced AI Model Performance

As a rapidly growing company in the Artificial Intelligence & Machine Learning industry, we face the challenge of managing and processing large volumes of data in real-time to feed our AI models. We are looking for a skilled data engineer to develop a robust data pipeline capable of ingesting, processing, and delivering data with low latency. This pipeline will utilize technologies such as Apache Kafka for event streaming, Spark for data processing, and Airflow for workflow management. Additionally, we seek to implement data observability practices to ensure data quality and reliability. The successful candidate will work closely with our data science team to ensure the pipeline is tailored to improve model training and predictions, ultimately enhancing the value we deliver to clients.