Senior AI Engineer – Data & ETL Pipelines (gn)
Core
Building scalable ETL/ELT pipelines that transform raw data into production-ready ML inputs for training and inference workloads.
Role type
Senior IC data infrastructure engineer (AI/ML pipelines)
Builds
Scalable data pipelines, Data Quality frameworks, Feature Stores, and integrated ML/LLM workflows
Domain
AI/ML infrastructure, Data Engineering, Manufacturing Technology
Deliverable
production ML models
Required skills
Python, SQL, dbt, Pipeline Orchestration (Airflow/Prefect/Dagster), Cloud Data Services (AWS/GCP/Azure), Feature Engineering, CI/CD, Container Deployment
Preferred skills
LLMs, RAG systems, Agentic Workflows, ML-specific data requirements (drift, reproducibility)
Responsibilities
Design and build scalable ETL/ELT pipelines for batch and near-real-time processing; Implement Data Quality frameworks and monitoring; Integrate pipelines into ML platforms and LLM workflows; Collaborate with Engineering, Product, and Data Science teams
Seniority
Senior, hands-on IC
