JOB ADVERTISEMENT: MACHINE LEARNING ENGINEER

Reporting Line:
Senior Manager – Advanced Analytics and Machine Learning

Location:
Tanzania Head Office

Department:
Data Management Office

Number of Openings:
1

Job Purpose

The role is responsible for designing, building, optimizing, and deploying Machine Learning (ML) models into production environments. It serves as a critical link between data science and operational systems by ensuring production-grade models are scalable, secure, and high-performing.

Key Responsibilities

• Develop, deploy, and operationalize machine learning and deep learning models in collaboration with data scientists and MLOps engineers.
• Build and maintain model APIs, microservices, and serving infrastructure for both real-time and batch inference.
• Ensure model scalability, performance, reliability, and security across production environments.
• Implement CI/CD pipelines to enable seamless integration, testing, and deployment of ML models.
• Work with data engineers to improve data ingestion, preprocessing, and feature engineering workflows.
• Monitor deployed models for drift, performance degradation, and stability issues, and implement retraining pipelines where necessary.
• Contribute to the design and management of ML infrastructure, including containerization with Docker and orchestration using Kubernetes.
• Collaborate with Data Governance and AI Governance teams to ensure compliance with regulatory, ethical, and operational standards.
• Document ML development processes, model configurations, and versioning for transparency, auditability, and reproducibility.
• Continuously research and adopt emerging ML engineering tools, technologies, and best practices to enhance model lifecycle management.

Qualifications Required

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a relevant technical field.
• 3–5 years of experience in machine learning engineering, data engineering, or a related discipline.
• Demonstrated experience deploying and maintaining ML models in production environments.
• Practical knowledge of API development, DevOps tools, and container orchestration technologies.
• Familiarity with MLOps pipelines, model monitoring frameworks, and version control systems such as Git.
• Experience working in financial institutions or regulated environments is an added advantage.

CRDB Commitment

CRDB Bank is committed to Sustainability and ESG principles and welcomes applications from individuals who share these values. The Bank promotes an inclusive work environment and strongly encourages applications from women and persons with disabilities.

Important Notice

CRDB Bank does not charge any fees during the application or recruitment process. Any requests for payment should be disregarded as they do not reflect the Bank’s practices.

Only shortlisted candidates will be contacted.

Application Deadline

24 December 2025

Employment Terms

Permanent

How to Apply:

To submit your application, please follow the link provided below.

CLICK HERE TO APPLY