AI Data Engineer

Remote (United States) R

USD 140K-207K (estimate) Senior-level Full Time

@ N...

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Found 1d ago

Tasks

Build data and AI platforms as code
Collaborate with security governance and IT operations teams
Create CI CD pipelines and automated testing
Curate index and refresh data sources for RAG
Design and maintain scalable ETL and ELT pipelines
Design build and operate data and AI platforms
Detect data drift and distribution shifts
Enable batch and near real time inference pipelines
Enable observability for data and model performance
Generate embeddings and manage embedding lifecycle
Implement GitOps workflows and pull request change control
Implement data quality monitoring and schema integrity checks
Implement feature engineering and feature store workflows
Implement model versioning and retraining and rollback strategies
Ingest and maintain vector databases
Integrate security privacy and compliance controls into pipelines
Maintain auditable data lineage and documentation
Maintain infrastructure as code for data and AI systems
Monitor pipeline performance and failure modes
Operate Azure based data and AI platforms
Operationalize ML models with MLOps workflows
Optimize platform cost efficiency performance reliability and scale
Produce architecture diagrams runbooks and operational documentation
Support AI ML model training and retraining
Support hybrid and restricted enterprise environments
Translate AI and business requirements into enterprise architectures

Perks/Benefits

Skills/Tech-stack

Education

Bachelor of Engineering | Bachelor of Science

Roles

Regions

North America

Countries

United States

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