Senior AIML & Mobile Application Engineer (iOSAndroid) Remote

This is a remote position.

• 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.
  

• Experience: 79 years of relevant software engineering and AI/ML development experience.
  
• Programming: Strong Python expertise with experience in PyTorch TensorFlow Hugging Face or equivalent frameworks.
  
• Speech & NLP: Hands-on experience with speech/audio processing and natural language processing techniques.
  
• Model Deployment: Hands-on deployment experience using ONNX TensorRT Triton or equivalent tooling.
  
• Android Development: Hands-on experience developing Android applications using Kotlin and/or Java.
  
• iOS Development: Hands-on experience developing iOS applications using Swift and/or Objective-C.
  
• Mobile Integration: Experience integrating REST APIs SDKs authentication real-time communication and AI-powered services into mobile applications.
  
• Frontend (Mandatory): Experience with React or Angular.
  
• Cloud AI Platforms: Experience with AWS SageMaker GCP Vertex AI Azure ML or an equivalent cloud AI platform.
  
• Containerization: Knowledge of Docker and Kubernetes.
  
• Version Control & CI/CD: Experience with Git and continuous integration and delivery pipelines.
  
• Analytical Skills: Strong analytical and problem-solving skills.
  

• Experience with real-time streaming using WebSocket or WebRTC.
  
• Experience building voice-enabled or AI-powered Android/iOS applications.
  
• Experience with mobile audio capture playback streaming and speech processing.
  
• Knowledge of model quantization pruning and inference optimization.
  
• Familiarity with SIP WebRTC or PSTN integration.
  
• Experience deploying or optimizing AI models for mobile or edge devices.
  
• Experience with mobile application deployment through the Apple App Store and Google Play Store.
  
• Open-source contributions or research publications in AI speech voice or mobile technology.
  

• Medical insurance
  
• Company gadgets
  
• Paid time off
  
• Stock options (ESOP)
  
• Competitive salary and benefits package.
  
• Opportunities for professional development and growth.
  
• Collaborative and innovative work environment.
  
• Chance to work on cutting-edge cloud projects.
  
• Supportive and inclusive company culture