Deskripsi Pekerjaan
Join Capgemini as a Gen AI Engineer and be at the forefront of artificial intelligence innovation. We are seeking a talented professional to develop cutting-edge AI models using the latest advancements in Large Language Models (LLMs) and ensure their seamless integration into application frameworks.
In this role, you will collaborate with cross-functional teams to design, build, and deploy generative AI solutions that transform business operations. You will work on optimizing existing AI systems and implementing new features that enhance performance, scalability, and user experience. This is an exciting opportunity to work with emerging technologies and contribute to impactful projects that shape the future of AI at a global scale.
Capgemini offers a dynamic work environment where innovation and continuous learning are encouraged. You will have access to industry-leading training, certification programs, and the opportunity to work with Fortune 500 clients across various industries.
Tanggung Jawab
- Develop and deploy AI models using the latest advancements in Large Language Models (LLMs)
- Ensure seamless integration of AI models into application frameworks
- Optimize existing AI systems for improved performance and scalability
- Collaborate with cross-functional teams to design innovative AI solutions
- Implement best practices for model versioning, monitoring, and maintenance
- Conduct research on emerging AI technologies and propose innovative approaches
- Write clean, efficient, and well-documented code for production-ready AI applications
- Troubleshoot and resolve AI model issues in production environments
Kualifikasi
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field
- Proven experience in developing and deploying AI/ML models, preferably with LLMs
- Strong proficiency in Python and popular ML frameworks such as TensorFlow or PyTorch
- Experience with cloud platforms (AWS, Azure, or Google Cloud)
- Solid understanding of natural language processing (NLP) and generative AI techniques
- Knowledge of MLOps practices and CI/CD pipelines for AI deployment
- Excellent problem-solving skills and ability to work in agile teams
- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders