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 strong 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.

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