Data Engineer

• Build and scale systems that support text and voice analysis, risk detection, and classifier training workflows.
• Responsible for production-grade machine learning pipelines (0 → 1).
• Collaborate closely with data scientists and AI engineers to deliver compliant, reliable data infrastructure and services.
• Build and maintain end-to-end ML pipelines: data ingestion, preprocessing, feature extraction, model training, evaluation and deployment.
• Develop reliable workflows specifically for voice and text analysis models.
• Design and maintain data storage, ETL workflows, and streaming/batch systems.
• Implement data-quality, data-labeling, versioning and governance practices.
• Work with data scientists and AI engineers to productionize models (e.g., text classifiers, anomaly-detection models, compliance-scoring models).
• Support model monitoring and performance tracking once models are live.
• Build robust, scalable, fault-tolerant pipelines.
• Document ETL processes, schemas, architecture and workflows.
• Support compliance, data governance, and security standards in data pipelines and infrastructure.

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