Backend Engineer (AI, ML, and Data Science)

Responsibilities & Context

1. Backend Systems & API Development

• Design, develop, and maintain enterprise-grade backend services to support AI/ML and data analytics platforms.
• Build and manage secure APIs for model inference, data access, and system integrations.
• Ensure backend systems meet high availability, performance, and resilience standards.

2. AI/ML Model Integration & Production Deployment

• Integrate machine learning models into banking applications for real-time and batch processing.
• Support model deployment, version control, monitoring, and rollback in production environments.
• Collaborate with Data Science and ML teams to transition research models into production systems.

3. Data Engineering & Processing

• Design and maintain data pipelines for ingestion, validation, processing, and transformation.
• Work with structured and unstructured data from internal and external banking systems.
• Ensure data accuracy, consistency, and integrity across backend systems.

4. Performance, Reliability & Scalability

• Optimize backend systems to handle high-volume transactional and analytical workloads.
• Implement caching, asynchronous processing, and load-balancing mechanisms.
• Monitor and troubleshoot system performance issues in collaboration with infrastructure teams.

5. Security, Risk & Regulatory Compliance

• Implement secure coding practices, access control, and encryption standards.
• Ensure compliance with banking regulations, internal security policies, and data privacy requirements.
• Support audits, risk assessments, and regulatory reviews related to backend and AI systems.

6. MLOps, DevOps & Infrastructure Collaboration

• Collaborate with DevOps/MLOps teams to support CI/CD pipelines for backend and AI services.
• Contribute to containerized and cloud-based deployments aligned with the Bank’s technology strategy.
• Maintain proper logging, monitoring, and alerting mechanisms.

7. Documentation, Testing & Quality Assurance

• Prepare and maintain technical documentation for backend services and integrations.
• Develop and execute unit, integration, and performance tests.
• Participate in code reviews and ensure adherence to enterprise development standards.

8. Stakeholder Collaboration

• Work closely with Data Science, Architecture, Information Security, Risk, and Business teams.
• Provide technical inputs to support business use cases, feasibility studies, and solution design.

Requirements

Education

• Bachelor of Science (BSc) in Computer Science
• Bachelor of Science (BSc) in Computer Science & Engineering
• Bachelor of Science (BSc) in Computer Engineering
• Bachelor of Science (BSc) in Computing & Information System
• Bachelor of Science (BSc) in Mathematics
• Bachelor of Science (BSc) in any of the specified disciplines or other relevant fields from a recognized university.

Experience

• 2 to 6 years
• The applicants should have experience in the following business area(s): Software Company, IT Enabled Service, Banks

Additional Requirements

• Age 22 to 45 years
• Proficiency in object-oriented programming (OOP).
• Strong skills in Python.
• Solid mathematical aptitude.
• Strong problem-solving and analytical skills.
• Experience with PostgreSQL and NoSQL databases.
• Excellent organizational and time-management skills.
• High level of accuracy and attention to detail.
• Understanding of current industry and technology trends and their relevance in a commercial environment.
• Strong teamwork and collaboration skills.
• Commitment to continuous self-development to keep pace with rapidly evolving trends.