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Please Note

  • An estimate based on public data for similar roles. Not provided by the employer.

AI Engineer

Malaysia Capgemini Estimated salary: RM8,000–RM15,000 per month, estimated for Malaysia
Role summary

Written by MyIslandJob from the job title and employer. See the employer's page for the full description.

The AI Engineer role involves designing, developing and deploying machine-learning and generative-AI solutions, potentially using SAP Business Technology Platform and related cloud services. Candidates are typically expected to have experience with Python, machine-learning frameworks, APIs, data preparation, model evaluation and software development practices. Familiarity with large language models, prompt engineering, cloud platforms, databases, MLOps and enterprise integration would be valuable. The role also requires strong analytical thinking, problem-solving, communication and teamwork skills. Capgemini would expect the successful candidate to work with clients and technical teams, translate business needs into practical AI solutions, document work clearly and stay current with rapidly evolving AI technologies.

About the employer

Capgemini is a global business and technology transformation company headquartered in France. It provides consulting, digital services, technology implementation, engineering and managed services to organizations across industries. Its work spans cloud, data and artificial intelligence, cybersecurity, enterprise applications, software engineering, customer experience and business operations. Capgemini serves major international clients and works with platforms such as SAP, Microsoft, AWS and Google Cloud. The company operates in many countries, including Malaysia, where teams support regional and global delivery projects. Employees commonly work in multidisciplinary, multicultural environments and may have opportunities to develop specialist expertise, gain professional certifications and contribute to large-scale technology modernization programs. Roles can involve both internal collaboration and direct client engagement, depending on the project and level of seniority.

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