AI ML Project Architect



• Design and architect scalable AI/ML solutions tailored for edge deployment.

• Lead the full solution lifecycle from proof-of-concept to production.

• Guide cross-functional teams on the integration of AI/ML models into edge devices (IoT, gateways, embedded platforms).

• Collaborate with stakeholders to translate business needs into technical specifications.

• Ensure architectural integrity, security, and performance.

• Establish best practices for model training, inference pipelines, and MLOps.

• Evaluate and select hardware and software tools (e.g., NVIDIA Jetson, Coral, OpenVINO, TensorRT).

• Oversee data pipelines for real-time and offline data processing.