FocusKPI is looking for an Android AI ML Engineer - On-Device to 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 rolePay Range: 80/hr to $93/hrResponsibilities:  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 LiteML Kit (including GenAI APIs)MediaPipePyTorch MobileBuild 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 updatesTelemetry collection and model performance monitoringRollout and A/B testing infrastructureImplement 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 PhDProficiency 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 analyticsExperience 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 TeamFounded 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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