Location
In office (Amman)
Employment
Full-Time
First seen by Alion on Oct 24, 2026. ProgressSoft scores C on the Alion truth index.
Overview
Company
Impact
Profile match
ProgressSoft is a Jordanian software company specialising in payment systems for central banks and financial institutions. Its products cover cheque clearing, instant payments, mobile wallets and electronic bill presentment. The company's systems run national payment infrastructure in several countries across the Middle East and beyond.
Description
Were looking for a passionate and skilledMachine Learning Engineerto join our team. Youll work on cutting-edge projects involvinglanguage modelsimage processing andcomputer vision contributing to the development of real-world AI applications. This role is ideal for early-career professionals with strong foundations inmachine learningPython and an interest in developing intelligent systems that process natural language and images.
Responsibilities
- Design train and evaluatemachine learning models includingdeep learning architectures
- Work withlanguage models (LLMs transformers)andcomputer vision techniques(e.g. CNNs object detection OCR)
- Process and prepare datasets perform feature engineering and apply data augmentation for image tasks
- Contribute to end-to-endML pipelines: from model development to integration into production systems
- Collaborate with cross-functional teams on AI product features and deployment
- Stay current with the latest research and advancements in NLP and computer vision
Requirements
- BSc in Computer Science Mathematics or similar field.
- Fresh graduates - up to 3 yearsof hands-on experience in machine learning projects (academic internship or professional)
- Solid knowledge Pythonand ML libraries (e.g. PyTorch TensorFlow scikit-learn)
- Knowledge of machine learning algorithmsanddeep learning fundamentals
- Experience with image processingtechniques (e.g. OpenCV image segmentation feature extraction)
- Familiarity with NLP tools and techniques(e.g. Hugging Face Transformers tokenization embeddings)
- Good understanding ofsoftware development best practices
Preferred Qualifications
- Experience or knowledge inCorC#
- Worked with REST APIs or deploying ML models into production
- Familiarity with cloud platforms (e.g. AWS Azure) or Docker
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