Senior MLOps & Cloud Solutions Engineer
Core
Integrate TensorFlow Lite into build systems and applications, standardize models for embedded systems, and manage cloud-based deployment conformance for detection algorithms.
Role type
Senior MLOps & Cloud Solutions Engineer
Builds
Embedded ML models and cloud-based detection systems
Domain
Automotive/Industrial IoT and Embedded Systems
Deliverable
production ML models
Required skills
TensorFlow, TensorFlow Lite, C++, Python, CI/CD pipelines, model versioning, embedded systems, real-time processing, model serialization, integration testing, debugging mechanisms
Preferred skills
Experience with automotive or industrial ML applications, open-source license compliance, cloud-based model deployment verification
Technologies
TensorFlow, TensorFlow Lite, C++, Python
Responsibilities
Replace existing ML libraries with TensorFlow Lite and integrate with build systems; Implement model conformance verification logic for cloud deployments; Standardize TensorFlow models for embedded systems; Develop and finalize integration tests for model integration; Create debugging or playback mechanisms to diagnose field issues; Manage datasets related to ML model development and deployment
Seniority
Senior, hands-on IC
