Senior AI/ML & Mobile Application Engineer (iOS/Android) - Remote

Cloudpso; Dallas, Northern (TX, KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Stock options (ESOP)

Medical insurance

Company gadgets

Paid time off

Job summary

CloudPSO is seeking a Senior AI/ML & Mobile Application Engineer (iOS/Android) for a remote role. You will design, train, deploy, and optimize AI/ML models powering our Voice Agent, while building and integrating Android and iOS apps.

The role spans research to production, requiring hands-on mobile development and strong NLP expertise. The ideal candidate will work across backend, frontend, and mobile teams, delivering prototypes, dashboards, and production-ready experiences while advancing

Qualifications

• 7–9 years of software/AI development experience.
• Expertise in Python and ML frameworks (PyTorch, TensorFlow).
• Hands-on experience with speech processing and NLP.
• iOS/Android mobile integration experience.
• Knowledge of MLOps toolchain and model deployment.

Responsibilities

• Design, train, and fine-tune STT, NLU, and TTS models.
• Build and maintain MLOps pipelines for deployment and monitoring.
• Develop APIs and services for mobile, frontend, and backend.
• Optimize inference latency with backend collaboration.
• Develop and integrate mobile apps (iOS/Android) with AI features.
• Create frontend prototypes and dashboards for demos.
• Conduct research to improve model accuracy and performance.
• Evaluate external models against requirements.
• Document architectures, experiments, and deployment steps.
• Participate in code reviews and maintain quality standards.

Skills

Strong Python

Speech & NLP

Frontend frameworks

Analytical skills

Tools

PyTorch

TensorFlow

Hugging Face

ONNX

TensorRT

Triton

Docker

Kubernetes

Git

AWS SageMaker

GCP Vertex AI

Azure ML

Job description

Senior AI/ML & Mobile Application Engineer (iOS/Android) - Remote

CloudPSO is a Information Technology Outsourcing (ITO) company that assists in the acquisition of qualified staff to address complex digital problems in order to increase efficiency, reduce costs, and maintain compliance.

CloudPSO was founded in 2017 with an aim to provide businesses with a competent and skilled workforce at any given point in time and from any geographic region.

We are a US-based company with headquarters in Dallas (Texas) and a center of excellence in Pakistan. We have over 200 facility seats with an additional Work-From-Home facility. CloudPSO has skillful in-house software development teams with state-of-the-art tools, the latest VOIP technology platform, and secure infrastructure.

Our core values consist of client satisfaction, commitment, quality, and transparency.

We, at CloudPSO, hunt, analyze, recruit, train, and retain top-notch talent for you to help achieve your business goals. Optimizing mission-critical and day-to-day enterprise IT operations, CloudPSO enables businesses to transform, innovate and scale.

Job Description

This is a remote position.

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.
  

Requirements

• Experience: 7–9 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.
  
• 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, Vue.js, 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.
  

PREFERRED 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