Overview
On Site
$90 - $100
Contract - W2
Contract - 12 Month(s)
Skills
AI/ML
Android
On Device
Job Details
Android AI ML Engineer - On-Device | Multinational Manufacturing Client
Build intelligent, privacy-first mobile systems that detect and respond to real-world conditions. Deploy resource-efficient ML models directly on Android devices with secure backend integration.
Key Responsibilities:
- Deploy ML models on Android devices using TensorFlow Lite, ML Kit, MediaPipe, PyTorch Mobile
- Optimize mobile performance for model size, memory usage, and latency
- Integrate apps with backend systems for model management and telemetry
- Implement secure Android development with privacy-first ML design
Requirements:
- Proficiency in Android development (Kotlin/Java) with deep app architecture knowledge
- Hands-on experience with on-device ML frameworks
- Experience integrating Android apps with cloud systems for model lifecycle management
- Strong background in secure Android development and local data protection
- Understanding of privacy-first ML system design
What We Offer:
- Work on cutting-edge on-device AI technology
- Privacy-focused development environment
- Opportunity with established multinational manufacturing leader
Next Steps: Submit your resume highlighting your on-device ML and Android development experience.
#AndroidDeveloper #OnDeviceAI #MachineLearning #TensorFlowLite #MobileAI #PrivacyFirst #MLKit #AndroidEngineering
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