Job Summary

Design and lead the deployment of end-to-end AI systems from sensor data ingestion (IoT) to edge/cloud model execution specifically for industrial use cases like predictive maintenance, quality inspection, and supply chain optimization. As an AI/ML Architect for manufacturing focuses on bridging the gap between factory floor operations and advanced data science to drive industrial efficiency

Key Responsibilities

Infrastructure Design: Build scalable pipelines for High-Frequency Industrial Data (PLC, SCADA, ERP)
Edge Computing: Deploy models onto shop-floor hardware for real-time latency requirements
Computer Vision: Implement automated optical inspection (AOI) for defect detection
Digital Twins: Architect simulation environments to test "what-if" production scenarios
MLOps: Establish CI/CD for retraining models as manufacturing conditions drift

Technical Skills

Frameworks: PyTorch, TensorFlow, Scikit-learn
IIoT Protocols: MQTT, OPC-UA, Modbus
Cloud & Edge: Azure IoT Edge, AWS IoT Greengrass, NVIDIA Jetson
Data Engineering: Spark, Kafka, Snowflake, or Time-Series databases (InfluxDB)
Compliance: Knowledge of ISO standards and manufacturing cybersecurity

Qualifications

Education: Master s or PhD in CS, Robotics, or Electrical Engineering
Experience: 8+ years in software architecture, with 4+ years focused on ML
Industry Knowledge: Deep understanding of Lean Manufacturing or Six Sigma is a plus

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Data Architect I - AI ML Architect

Job Description

No Referrers Available