GenAI Developer
Capgemini
Job Overview
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Job Description
Your Role
As a GenAI Developer at Capgemini, you will be instrumental in leveraging your expertise in Natural Language Processing (NLP) and a deep understanding of Retrieval-Augmented Generation (RAG), neural networks, and various AI/ML concepts. This role involves active experience with leading AI/ML frameworks such as TensorFlow and PyTorch, applying your knowledge of advanced AI and Machine Learning algorithms to develop innovative solutions.
Your Profile
We are looking for candidates with 5 to 14 years of experience in GenAI and Machine Learning algorithms. A strong background in Natural Language Processing (NLP) is essential. You should be familiar with diverse AI platforms, understanding both their capabilities and inherent limitations. A key aspect of your profile will be the ability to design and implement sophisticated AI models to address complex business challenges.
What You’ll Love About Working Here
Capgemini values flexible work arrangements, supporting a hybrid work model that promotes a healthy work-life balance. We are committed to your career growth and professional development, offering an environment rich with opportunities for exploration. You will have access to valuable certifications and training programs, particularly in cutting-edge technologies like Generative AI, ensuring you stay at the forefront of innovation.
Capgemini is a global business and technology transformation partner, empowering organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. As a responsible and diverse group of 340,000 team members across more than 50 countries, Capgemini, with over 55 years of heritage, is trusted by clients to unlock technology's value across their entire business needs. We deliver end-to-end services and solutions, from strategy and design to engineering, fueled by market-leading capabilities in AI, generative AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem.
Key skills/competency
- Generative AI (GenAI)
- Machine Learning Algorithms
- Natural Language Processing (NLP)
- Retrieval-Augmented Generation (RAG)
- Neural Networks
- TensorFlow
- PyTorch
- AI Model Design
- AI Platform Expertise
- Data Science Fundamentals
How to Get Hired at Capgemini
- Research Capgemini's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their commitment to sustainability and digital transformation.
- Tailor your resume strategically: Highlight your experience with GenAI, NLP, Machine Learning algorithms, and project success stories, customizing for the GenAI Developer role's technical requirements.
- Showcase technical expertise: Be prepared for in-depth questions on RAG, neural networks, AI/ML frameworks like TensorFlow/PyTorch, and practical algorithm application relevant to Capgemini's work.
- Emphasize problem-solving and innovation: Demonstrate your ability to design and implement complex AI models, discussing challenges overcome and the impact of your solutions in previous GenAI roles.
- Network and engage: Connect with Capgemini professionals on LinkedIn and explore their industry insights and thought leadership, demonstrating genuine interest in their work in the GenAI space.
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