1 Develop a mobile application that integrates the Telematic Card and AI system across all vehicle models, enabling real- time monitoring, data analysis, and intelligent insights to enhance connectivity, performance, and user experience. PFE

Overview

• Number of trainees: 1
• Objective: Develop a mobile application that integrates the Telematic Card and AI system across all vehicle models to enable real-time monitoring, data analysis, and intelligent insights to enhance connectivity, performance, and user experience.
• Department: R&D

Required expertise & technologies

• Understanding of data processing, predictive modeling, and real-time analytics.
• Experience with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn; ability to design and integrate AI models for vehicle performance analysis and user behavior insights.
• Mobile development skills (iOS/Android or cross-platform frameworks), experience with telematics data protocols and APIs, and knowledge of secure data transmission.

Responsibilities & expected deliverables

• Design and implement a mobile application front-end and back-end integration that consumes Telematic Card data in real time across multiple vehicle models.
• Develop and integrate AI models for predictive maintenance, performance analysis, and user behavior insights; validate models with test datasets and implement real-time inference pipelines.
• Implement data processing pipelines for telemetry, handle streaming data, ensure low-latency monitoring, and provide visualizations and alerts within the app.
• Deliverables include a working mobile app prototype, documented AI models, data processing pipeline code, integration documentation for Telematic Card, and a final report/presentation to R&D.

Learning outcomes & competencies gained

• Hands-on experience with vehicle telematics integration, real-time analytics, and deploying ML models for on-device or cloud inference.
• Strengthened skills in machine learning model design, evaluation, and optimization for automotive use cases.
• Experience working within an R&D environment on connectivity and user-experience improvements for automotive systems.

How to apply

• To apply, send your CV and a brief cover letter mentioning relevant projects and tools (TensorFlow/PyTorch/Scikit-learn, mobile frameworks, telematics) to hr@bakomotors.com.
• Use the email subject: "PFE Application – Telematic Card & AI Mobile App (Subject 3)" when submitting your application.