AI Engineer

Key Responsibilities

• Design, train, optimize, and deploy machine learning & deep learning models for various business use cases.

• Integrate AI features into iOS and Android mobile applications using platform-specific tools (e.g., TensorFlow Lite

for Android, Core ML for iOS).

• Optimize models for on-device inference to ensure low latency, low power consumption, and good performance

on mobile devices.

• Handle end-to-end mobile AI workflows: model conversion, quantization, testing on physical iOS and Android

devices, and troubleshooting device-specific issues.

• Build and maintain AI pipelines for mobile apps, including computer vision, NLP, recommendation engines, or

generative AI features.

• Collaborate with mobile developers, backend teams, and stakeholders to embed AI into cross-platform or native

apps.

• Monitor, evaluate, and improve model performance on real devices; perform testing across different Android

versions and iOS versions.

• Research latest trends in on-device AI, edge ML, and mobile deployment frameworks (TensorFlow Lite, Core ML,

ML Kit, etc.).

• Ensure ethical AI practices, data privacy (especially on mobile), and compliance with platform guidelines.

• Document solutions and provide guidance to the team on mobile AI best practices.

Qualifications & Skills

Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field (or strong equivalent

experience).