Translation Empire Ltd

Develop and maintain Android applications for Translation Empire from the company’s Rawalpindi office. The role covers feature development, debugging, testing, and collaboration with the software team using Kotlin and Java.

Translation Empire is seeking a DevOps Engineer to automate software delivery, manage cloud infrastructure, and improve reliability for enterprise-grade .NET applications. This full-time, on-site role offers hands-on work with cloud, infrastructure-as-code, containers, and deployment tooling.

Twilio Developer responsible for building and maintaining web applications and APIs using .NET and C#, with database development and application-layer design. The role also involves API testing, deployment, QA collaboration, and integration with front-end technologies.

Translation Empire is hiring a WhatsApp API Developer to build, integrate, maintain, and optimize WhatsApp Business communications using Meta’s platform and Twilio. The role focuses on backend API workflows, chatbot and automation integrations, reliability, and compliance.

Develop and manage end-to-end WhatsApp Business API integrations, messaging workflows, chatbot connections, and notification services. This on-site role focuses on Twilio, Meta platform compliance, backend APIs, reliability, and troubleshooting.

Software Developer responsible for integrating algorithms and tools into production-grade applications, with a focus on scalable deployment, APIs, and backend services. The role collaborates closely with researchers and engineers in an office-based environment in Rawalpindi.

Machine Learning Engineer developing, training, validating, and deploying scalable machine learning models for real-world problems. The role focuses on data processing, automated ML pipelines, and ongoing model performance improvement.

Deep Learning Specialist responsible for designing, fine-tuning, and deploying advanced deep learning models for image, text, and signal data. The role focuses on solving problems beyond traditional machine learning and evaluating models in production.