Senior ML Data Engineer
Core
Designing, developing, and maintaining scalable data pipelines for training, evaluation, and analysis in an enterprise banking context.
Role type
Senior ML Data Engineer
Builds
Scalable data pipelines and datasets for AI/ML training and inference
Domain
Banking / Data Engineering
Deliverable
production ML models
Required skills
Python, R, SQL, ETL/ELT pipeline design, data transformation, data validation, data lineage, Git, large-scale data processing
Preferred skills
Architectural evolution, mentoring junior resources
Technologies
Python, R, SQL, Git
Responsibilities
Design and maintain scalable data pipelines; Collaborate with AI teams on dataset preparation; Ensure data quality and availability throughout the lifecycle; Define data collection and normalization processes; Optimize data processing performance; Contribute to data model definitions and best practices; Mentor junior team members.
Seniority
Senior, hands-on IC with mentorship
