Senior AI/ML Engineer, Mobile Application Engineer – iOS/Android

🔥 16 hours ago

🇵🇰 Pakistan – Remote

⏰ Full Time

🟠 Senior

💻 Application Engineer

👻 Ghost score 18%

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Logo of CloudPSO

CloudPSO

51 - 200 employees

Founded 2017

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

CloudPSO is an innovative company that provides solutions for managing WiFi network settings through its My Spectrum app. Users can customize network parameters such as the network name and password, manage devices, and modify advanced settings like DNS and port forwarding. CloudPSO aims to enhance user control over their internet connectivity and optimize network performance.

📋 Description

• Design, train, and fine-tune models and pipelines for STT, NLU, and TTS use cases • Build and maintain MLOps pipelines for model deployment, monitoring, and retraining • Develop APIs and services exposing AI capabilities to backend, frontend, and mobile applications • Collaborate with backend engineers to optimize inference performance and end-to-end latency • Develop, enhance, and maintain Android and iOS applications, including AI/ML and Voice Agent integration • Integrate APIs, speech processing, real-time communication, and AI-powered functionality into mobile applications • Create frontend prototypes, dashboards, and demonstrations using a modern frontend framework • Conduct research and controlled experiments to improve model accuracy, quality, and performance • Evaluate external models and providers against product requirements and measurable benchmarks • Document model architectures, experiments, evaluation results, mobile integrations, and deployment processes • Participate in code reviews and maintain high engineering and reproducibility standards • Collaborate across backend, frontend, mobile, and infrastructure teams • Build prototypes, dashboards, internal demos, and production-ready mobile experiences for the Voice Agent platform

🎯 Requirements

• 7–9 years of relevant software engineering and AI/ML development experience • Strong Python expertise with experience in PyTorch, TensorFlow, Hugging Face, or equivalent frameworks • Hands-on experience with speech/audio processing and natural language processing techniques • Hands-on deployment experience using ONNX, TensorRT, Triton, or equivalent tooling • Hands-on experience developing Android applications using Kotlin and/or Java • Hands-on experience developing iOS applications using Swift and/or Objective-C • Experience integrating REST APIs, SDKs, authentication, real-time communication, and AI-powered services into mobile applications • Experience with React, Vue.js, or Angular; frontend experience is mandatory • Experience with AWS SageMaker, GCP Vertex AI, Azure ML, or an equivalent cloud AI platform • Knowledge of Docker and Kubernetes • Experience with Git and continuous integration and delivery pipelines • 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

🏖️ Benefits

• 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

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