About This Opportunity
The details below reproduce the recorded source information. They have not been independently confirmed with the employer. Missing fields are not inferred from the role title. Check jobs.natwestgroup.com for the current requirements and availability.
Full source description
- NatWest Group Recruitment in Bangalore For AI/ML Trainee. BE, BTech, ME, MTech Graduates of 2025, 2026 Batch are eligible to apply for this job
- More details regarding NatWest Group Bangalore is given below
- Company Name: NatWest Group Job Location: Bangalore Job Category: IT | Software Job Position: AI/ML Trainee Qualification: BE, BTech, ME, MTech Year of Passing: 2025, 2026 Passouts Job Description: NatWest Group is hiring for AI/ML Trainee
- 6-Month Fixed-Term Contract
- Jib Type: Full Time
- Work Location: Bangalore
- Job Summary: This role is based in India and as such all normal working days must be carried out in India
- Join us as a Software Engineer
- This is an opportunity for a driven Software Engineer to take on an exciting new career challenge
- Day-to-day, you’ll build a wide network of stakeholders of varying levels of seniority
- It’s a chance to hone your existing technical skills and advance your career
- What you’ll do: In your new role, you’ll engineer and maintain innovative, customer centric, high performance, secure and robust solutions. You’ll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform
- You’ll also be Producing complex and critical software rapidly and of high quality which adds value to the business
- Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
- Collaborating to optimise our software engineering capability
- Designing, producing, testing and implementing our working code
- Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations
- The skills you’ll need: You’ll need a strong foundation in computer science and software engineering fundamentals, together with curiosity and enthusiasm for solving problems using technology
- As this is an early-career role, we’re interested in your fundamentals, problem-solving ability, and willingness to learn rather than extensive commercial experience
- You’ll also be Strong hands-on Python programming skills, with an understanding of object-oriented programming, modular code, and basic software development practices
- Strong understanding of data structures and algorithms, with the ability to apply them effectively when solving programming problems
- Strong analytical and problem-solving skills, with the ability to break down problems, evaluate approaches, and translate solutions into working code
- Conceptual understanding of Artificial Intelligence and Machine Learning, including fundamental concepts related to models, training, inference, and data
- Good understanding of software engineering practices, including version control, testing, debugging, and collaborative development
- Ability to learn independently, experiment with unfamiliar technologies, and collaborate effectively within an engineering team
- Exposure to Generative AI, Large Language Models (LLMs), AI agents, or Agentic AI is desirable but not essential
- Note: Candidates who are graduating from or have graduated from colleges we have partnered with will not be considered for this role
- Mandatory Action: For your application to be considered for this role, it’s essential that you mention your GitHub ID score along with your name while filling out the application
- Last Date To Apply: 7th November 2026 How To Apply: Apply For This Job 2025 Batch Jobs: Check Here 2026 Batch Jobs: Check Here IT Jobs: Check Here Bangalore Jobs: Check Here
Application preparation
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Candidate Guidance
Preparation actions based on the recorded description. Suggestions below do not add to or replace the employer requirements.
- Technical preparation suggestion: choose one relevant implementation you actually built. Be ready to demonstrate a normal input, an invalid input, how you tested both, and one limitation. This is preparation advice, not an additional employer requirement.
- The source text does not provide clearly labelled eligibility or selection details. Read its full wording and ask the employer about missing mandatory conditions before investing time in an application.
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