Industrial AI Solution Architect | ML, MLOps, Data Pipelines

Responsibilities AI Solution Development & Software Engineering Design, develop, and maintain production-grade APIs and AI-enabled applications Integrate AI workflows with enterprise platforms and third-party systems Develop scalable and reliable software architectures with logging, tracing, and monitoring capabilities Ensure software quality through clean coding practices, testing, performance tuning, and system optimization AI/ML Engineering & MLOps Build and operationalize end-to-end AI/ML solutions, including model training, deployment, monitoring, and continuous improvement Develop and maintain CI/CD pipelines for AI/ML systems to support automation, reproducibility, and version control Implement monitoring, telemetry, observability, and model drift detection practices Support incident investigation, troubleshooting, and system reliability improvements Data Engineering & AI Workflows Develop and optimize data ingestion, preprocessing, and feature engineering pipelines for training...