Build scalable AI and machine learning data pipelines as a Senior AI Data Engineer with a fully remote work model. Apply big data expertise to critical infrastructure.

This senior role focuses on data engineering for AI model training and deployment. You will design infrastructure, manage data systems, and optimize processing while working with data scientists and ML engineers. The position requires robust SQL, NoSQL, and distributed data processing experience.

Key Responsibilities:

- Design and maintain scalable pipelines for AI and machine learning workloads
- Develop ingestion, transformation, cleansing, and aggregation processes
- Manage data warehouses and data lake solutions
- Optimize storage, retrieval, and processing performance
- Ensure data quality, integrity, and security

Requirements:

- Master's degree or equivalent quantitative-field experience
- Five-plus years in data engineering and AI/ML pipelines
- Strong SQL and NoSQL database proficiency
- Experience with Spark, Hadoop, or Flink
- Python, Scala, or Java programming proficiency

Bring senior data engineering expertise, cloud knowledge, and AI/ML understanding to fully remote infrastructure work.

📌 Senior AI Data Engineer (Kimberley)
🏢 Placements24
📍 Kimberley