Backend Engineer (AI, ML, and Data Science)

Job Description

Title: Backend Engineer (AI, ML, and Data Science)

Company Name: United Commercial Bank PLC

Vacancy: --

Age: Na

Job Location: Dhaka

Salary: Negotiable

Experience:

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

• 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

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

• 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.

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.

• Provident fund,Weekly 2 holidays,Gratuity
• Festival Bonus: 2