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Bank of Baroda IT (AI Engineer - AI/GenAI/NLP/ML) Syllabus 2026, Exam Pattern
Bank of Baroda IT AI Engineer Syllabus 2026, Exam Pattern, Exam Date 2026
Detail Information about Bank of Baroda has published notification 2026 for the recruitment of IT (AI Engineer - AI/GenAI/NLP/ML) vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Recruitment with Latest Update Exam Pattern and the Exam Date also.
Bank of Baroda IT Syllabus 2026 : Highlights
| Organization Name | Bank of Baroda |
| Post Names | IT (Senior Manager, Manager & Officer AI Engineer - AI/GenAI/NLP/ML) |
| Total Vacancy | 39 |
| Application Mode | Online |
| Category | Syllabus and Exam Pattern |
| Selection Process | Online Test (for positions in MMG/ S-II & MMG/ S-III only), Psychometric Test, Group Discussion, Interview |
| Official Website | www.bankofbaroda.in |
Bank of Baroda IT (AI Engineer - AI/GenAI/NLP/ML) Syllabus 2026
Logical Reasoning :
1. Number Series
2. Coding-Decoding
3. Non-Verbal Series
4. Number Ranking
5. Directions
6. Arithmetical Reasoning
7. Alphabet Series
8. Decision Making
9. Analogy
10. Clocks & Calendars
11. Blood Relations
12. Cubes and Dice
13. Mirror Images
14. Embedded Figures
15. Statements & Conclusions etc.
Quantitative Aptitude :
1. Number System
2. Percentages
3. Decimal & Fractions
4. Average
5. Problems on Ages
6. Ratio and Proportions
7. Simplification
8. Time and Work
9. Profit and Loss
10. Time and Distance
11. HCF & LCM
12. Mixtures & Allegations
13. Simple & Compound Interest
14. Data Interpretation etc.
English Language :
1. Verb
2. Subject-Verb Agreement
3. Tenses
4. Error Correction
5. Adverb
6. Articles
7. Sentence Rearrangement
8. Fill in the Blanks
9. Comprehension
10. Grammar
11. Synonyms
12. Vocabulary
13. Unseen Passages
14. Antonyms
15. Idioms & Phrases etc.
Professional Knowledge :-
AI Engineer - AI/GenAI/NLP/ML :
1. Design and Develop AI-Based Banking Applications and Products:
AI Solutions: Create innovative AI solutions tailored for banking and financial services.
Application Development: Develop applications that leverage AI to enhance customer experience and operational efficiency.
2. End-to-End AI Model Development and Deployment:
Model Development: Design, train, and optimize AI models for various banking applications.
Deployment: Deploy AI models into production environments, ensuring they are integrated smoothly with existing systems.
3. Collaborate with Cross-Functional Teams:
Team Collaboration: Work with data scientists, software engineers, product managers, and other stakeholders.
Requirement Gathering: Identify business requirements and translate them into technical specifications for AI solutions.
4. Ensure Quality and Accuracy of AI Models:
Model Validation: Test and validate AI models to ensure they perform accurately and reliably.
Quality Assurance: Implement rigorous testing protocols to identify and rectify issues.
5. Work on Bug Fixing and Improving Application Performance:
Bug Identification: Identify and fix bugs that affect the performance of AI applications.
Performance Tuning: Continuously improve the performance of applications through optimization techniques.
6. Ensure Performance, Quality, and Responsiveness:
Performance Monitoring: Monitor the performance of AI models and applications to ensure they meet quality standards.
Responsiveness: Ensure applications are responsive and provide a seamless user experience.
7. Work Closely on Project Deadlines:
Deadline Management: Adhere to project timelines and ensure tasks are completed on schedule.
Project Coordination: Coordinate with project teams to ensure timely delivery of AI solutions.
8. Stay Updated with Latest Advancements in AI/ML Technologies:
Continuous Learning: Stay informed about the latest developments in AI, ML, GenAI, and NLP.
Innovation: Contribute to the development and improvement of AI frameworks and libraries by implementing cutting-edge technologies.
AI Solutions: Create innovative AI solutions tailored for banking and financial services.
Application Development: Develop applications that leverage AI to enhance customer experience and operational efficiency.
2. End-to-End AI Model Development and Deployment:
Model Development: Design, train, and optimize AI models for various banking applications.
Deployment: Deploy AI models into production environments, ensuring they are integrated smoothly with existing systems.
3. Collaborate with Cross-Functional Teams:
Team Collaboration: Work with data scientists, software engineers, product managers, and other stakeholders.
Requirement Gathering: Identify business requirements and translate them into technical specifications for AI solutions.
4. Ensure Quality and Accuracy of AI Models:
Model Validation: Test and validate AI models to ensure they perform accurately and reliably.
Quality Assurance: Implement rigorous testing protocols to identify and rectify issues.
5. Work on Bug Fixing and Improving Application Performance:
Bug Identification: Identify and fix bugs that affect the performance of AI applications.
Performance Tuning: Continuously improve the performance of applications through optimization techniques.
6. Ensure Performance, Quality, and Responsiveness:
Performance Monitoring: Monitor the performance of AI models and applications to ensure they meet quality standards.
Responsiveness: Ensure applications are responsive and provide a seamless user experience.
7. Work Closely on Project Deadlines:
Deadline Management: Adhere to project timelines and ensure tasks are completed on schedule.
Project Coordination: Coordinate with project teams to ensure timely delivery of AI solutions.
8. Stay Updated with Latest Advancements in AI/ML Technologies:
Continuous Learning: Stay informed about the latest developments in AI, ML, GenAI, and NLP.
Innovation: Contribute to the development and improvement of AI frameworks and libraries by implementing cutting-edge technologies.
Bank of Baroda IT (AI Engineer - AI/GenAI/NLP/ML) Exam Pattern 2026
Duration : 150 Minutes
| S.No | Subject | No.of Question | Marks | Duration |
| 1 | Reasoning | 25 | 25 | 75 Minutes |
| 2 | Quantitative Aptitude | 25 | 25 | |
| 3 | English | 25 | 25 | |
| 4 | Professional Knowledge | 75 | 150 | 75 Minutes |
| Total | 150 | 225 | 150 Minutes |
Bank of Baroda IT Exam Date 2026 : Update Soon
Starting Date of Application Form : 30th January 2026
Last Date of Application Form : 19th February 2026
Total Post : 39
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Bank of Baroda IT (AI Engineer - AI/GenAI/NLP/ML) Exam - Hindi150 questions • 150 mins • 150 marks
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