This is a remote position.
Job timings: Mon - Fri US EST time zone
Job Location: Pakistan (Remote)
Experience: 5+ years
ROLE OVERVIEW
We are looking for a Senior AI/ML & Mobile Application Engineer (iOS/Android) responsible for designing, training, deploying, and optimizing AI/ML models that power our Voice Agent platform, while also contributing to the development and integration of Android and iOS applications.
This role spans the full AI lifecycle—from research and experimentation to production deployment and monitoring—and requires hands-on mobile application development experience. The ideal candidate will have deep expertise in speech and NLP technologies, strong engineering practices, and experience integrating AI-powered capabilities into mobile applications.
The role requires collaboration across backend, frontend, mobile, and infrastructure teams. Frontend and mobile application development experience are mandatory, as the position includes building prototypes, dashboards, internal demos, and production-ready mobile experiences.
KEY RESPONSIBILITIES
- Model Development: Design, train, and fine-tune models and pipelines for STT, NLU, and TTS use cases.
- MLOps: Build and maintain MLOps pipelines for model deployment, monitoring, and retraining.
- API Development: Develop APIs and services that expose AI capabilities to backend, frontend, and mobile applications.
- Performance Optimization: Collaborate with backend engineers to optimize inference performance and end-to-end latency.
- Mobile Application Development: Develop, enhance, and maintain applications for Android and iOS, including integration of AI/ML and Voice Agent capabilities.
- Mobile AI Integration: Integrate APIs, speech processing, real-time communication, and AI-powered functionality into mobile applications.
- Frontend Prototyping: Create frontend prototypes, dashboards, and demonstrations using a modern frontend framework.
- Research & Experimentation: Conduct research and controlled experiments to improve model accuracy, quality, and performance.
- Vendor Evaluation: Evaluate external models and providers against product requirements and measurable benchmarks.
- Documentation: Document model architectures, experiments, evaluation results, mobile integrations, and deployment processes.
- Code Quality: Participate in code reviews and maintain high engineering and reproducibility standards.