FocusKPI is looking for an
Android AI ML Engineer - On-Deviceto join one of our clients a high-tech SaaS company.
The client is looking for a highly capable Android AI/ML Engineer - On-Device to help build intelligent privacy-first mobile systems that can detect respond to and learn from dynamic real-world conditions. This role involves deploying resource-efficient ML models directly on Android devices combined with backend integration for model management telemetry and secure update delivery.
The ideal candidate has a strong background in on-device intelligence and cloud-integrated systems especially in applications that require responsiveness adaptability and strict privacy controls.
Work Location:Mountain View CA (on-site 4 days a week)
Duration:6-month contract; hybrid role
Pay Range:80/hr to $93/hr
Responsibilities:- Design develop and deploy on-device machine learning models optimized for Android ensuring low latency and minimal resource consumption.
- Build robust and scalable ML pipelines using Android-native frameworks such as:
- TensorFlow Lite
- ML Kit (including GenAI APIs)
- MediaPipe
- PyTorch Mobile
- Build robust and efficient on-device data pipelines and inference mechanisms for real-time decision-making.
- Apply model optimization techniques such as quantization pruning and distillation for performance on mobile hardware.
- Ensure privacy-first design by performing all data processing and inference strictly on-device.
- Collaborate with backend teams to integrate with cloud-based model orchestration systems (e.g. MCP or similar) for:
- Model versioning delivery and remote updates
- Telemetry collection and model performance monitoring
- Rollout and A/B testing infrastructure
- Implement secure local storage encrypted data handling and telemetry pipelines that meet privacy and compliance standards.
- Support adaptive model behavior through on-device fine-tuning personalization or federated learning workflows.
Qualifications:- 5-7 years of experience with a Masters degree 3 years of experience with a PhD
- Proficiency in Android development using Kotlin and/or Java with deep understanding of app architecture background processing and system APIs.
- Hands-on experience with on-device ML frameworks: TensorFlow Lite ML Kit MediaPipe PyTorch Mobile.
- Solid understanding of mobile performance optimization including model size memory usage and latency.
- Proven ability to integrate Android apps with backend/cloud systems for:
- Model lifecycle management (delivery updates rollback)
- Logging telemetry and analytics
- Experience with secure Android development including permissions sandboxing encryption and local data protection.
- Strong understanding of privacy-first ML system design and local-only data processing.
Desired qualifications:
- Experience working with model orchestration platforms (e.g. MCP Vertex AI SageMaker or internal tools).
- Familiarity with federated learning on-device personalization or differential privacy.
- Background in building real-time data-driven features in mobile apps at scale.
- Familiarity with cloud infrastructure (e.g. GCP AWS) for ML model deployment and monitoring.
- Previous work in high-sensitivity domains such as identity privacy mobile security or regulated industries is a plus.
**No C2C resumes are considered**
Thank you!
FocusKPI Hiring Team
Founded in 2010 FocusKPI Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley California with an East Coast office in Boston Massachusetts.
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Manager