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.

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.

• Experience:
  
  7–9 years of relevant software engineering and AI/ML development experience.
• Programming:
  Strong Python expertise with experience in PyTorch, Tensor Flow, 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 Sage Maker, 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…