PAY: $85-93/hour W2. Our company offers our consultants a suite of benefits after a qualification period including health, vision, dental, life and disability insurance. Onsite role in Mountain View, CA W2 Candidates only Position Summary: • Seeking 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. Key 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. Technical Requirements: • 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. Preferred 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. Who We Are: The Fountain Group is a nationwide staffing firm with over 80 Fortune 100-500 clients. Since 2001, TFG has maintained a consistent standard of excellence, and our work is broadly recognized every year through numerous industry performance awards. Our success is a team effort. Browse our website below for additional information on our company. The Fountain Group 3407 W Martin Luther King Jr. Dr. Tampa, FL 33607 “We work in Life Sciences, Clinical, Engineering, IT, and more. Above all, we specialize in people.”