We are seeking a talented and motivated AI/ML Backend Engineer to join our team focused on financial data enrichment. You will play a critical role in developing and maintaining robust backend services, applying machine learning techniques to enhance transaction data, and building APIs to support seamless integration with our systems. If you are passionate about leveraging technology to transform financial data and possess a strong background in backend development and AI/ML, we encourage you to apply.
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Key Responsibilities:
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Transaction Services Development:
- Develop and maintain backend services responsible for processing and presenting banking transaction data.
- Implement features that improve the visibility and usability of transaction data for end-users.
- Ensure the optimal performance and reliability of transaction processing systems.
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Financial Data Enrichment:
- Design and build systems to establish links between related transactions and identify relevant patterns.
- Implement entity recognition techniques to identify and categorize transaction parties.
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Machine Learning and Artificial Intelligence Applications:
- Deploy, fine-tune, and optimize machine learning models for transaction categorization, merchant enrichment, reconciliation, and other data enrichment processes.
- Utilize Natural Language Processing (NLP) to extract valuable insights from transaction descriptions.
- Develop and implement algorithms to derive financial intelligence from comprehensive transaction data.
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API Development and Management:
- Design and develop RESTful APIs for seamless integration with internal and potentially external systems.
- Manage and maintain existing API endpoints, ensuring their stability and efficiency.
- Create comprehensive API documentation and enforce consistent interface design principles.
Required Skills and Qualifications:
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Backend Development Expertise:
- Proficiency in Python.
- Proven experience in designing, building, and maintaining APIs.
- In-depth knowledge of service-oriented architecture principles and best practices.
- Strong understanding of database operations, performance optimization, and data modeling.
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AI/ML Implementation Skills:
- Hands-on experience in implementing and working with various machine learning models.
- Solid understanding of Natural Language Processing (NLP) techniques, particularly for text classification and entity extraction.
- Practical familiarity with popular machine learning libraries such as scikit-learn and PyTorch.
- Demonstrated ability to evaluate and significantly improve machine learning model performance.
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Financial Data Acumen:
- Working knowledge of financial transaction structures and data elements.
- Ability to analyze transaction data and interpret its significance in a business context.
- Genuine interest in financial technology (FinTech) and its diverse applications.
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Effective Communication:
- Excellent written communication skills with the ability to produce clear and concise documentation.
- Strong ability to analyze requirements, identify gaps, and request clarification when necessary.
Education and Experience:
- Bachelor's degree in Computer Science, Data Science, or a closely related technical field.
- Minimum of 3 years of professional software engineering experience.
- Proven track record of implementing ML/AI solutions in production environments.
- Prior experience or a strong interest in the FinTech or financial services industry is highly advantageous.
Location: Riyadh, Saudi Arabia
Work Conditions: On-site, Full-time
