AI Data Engineer
Core
Building and maintaining data infrastructure and pipelines to support AI/ML workflows, model deployment, and enterprise system integration.
Role type
Senior AI Data Engineer
Builds
Production-ready data pipelines, ML model deployments, and integrated enterprise data services
Domain
Manufacturing / AI & Machine Learning / Cloud Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, Spark, Hadoop, Kafka, AWS Redshift, Azure Data Factory, GCP BigQuery, API development, data governance, classification & detection algorithms, time-series & predictive models, anomaly detection, reinforcement learning, clustering & recommendation
Preferred skills
ETL pipeline development, backend integration, clean data management for AI/ML, production ML deployment, strong coding discipline, automation of data workflows
Technologies
Python, SQL, Spark, Hadoop, Kafka, AWS Redshift, Azure Data Factory, GCP BigQuery
Responsibilities
Develop and maintain ETL pipelines for AI/ML workflows, deploy ML models in production environments, integrate data systems with enterprise APIs, implement data governance and security frameworks, automate data workflows, apply advanced ML algorithms (classification, time-series, anomaly detection, reinforcement learning)
Seniority
Senior, hands-on IC
