About the role

Here in DBS we are working to improve Incident detection and root cause identification time using AI/ML models and Agentic AI processes.

This involves following:

• Design and develop machine learning algorithms and deep learning applications and systems.
• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks.
• Ensure algorithms generate accurate user recommendations.

Job Responsibility

• Running tests, performing statistical analysis, and interpreting test results.
• Fine Tune Model data.
• Map the outcomes to the actual RCA and perform Fune tuning.
• Documenting machine learning processes.

Job Requirements

• Bachelor’s degree in Computer Science, Information Security, or related discipline.
• Impeccable analytical and problem-solving skills
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch
• Familiarity with data structures, data modeling, and software architecture

Please submit your application for the Job Post "Graduate Industry Traineeship (GRIT) Programme 2026 (ID: 250000AO)" on the DBS career portal, starting October 8th, 2025.