Data Scientist/Artificial Intelligence Engineer
4 weeks ago
About the Role
We are seeking an exceptional individual with expertise in machine learning, GenAI, computer vision, and data science to define our go-to-market strategy and drive growth in our analytics capability. The successful candidate will work with C-suite client stakeholders to identify and define their challenges and opportunities, and explain how our analytics offering can help them achieve their goals.
Key Responsibilities
- Develop and implement large-scale AI techniques, including supervised and unsupervised machine learning, GenAI, deep learning, and graph data analytics.
- Lead and motivate teams to successfully deliver projects, and provide technical guidance and leadership.
- Build and deploy solutions to cloud platforms, including AWS, Azure, and Google Cloud, and lead teams using technologies such as Docker, Kubernetes, and CI/CD platforms.
- Work with clients to identify and define their challenges and opportunities, and explain how our analytics offering can help them achieve their goals.
Requirements
- Experience of successfully delivering large-scale AI projects, and expertise in machine learning, GenAI, computer vision, and data science.
- Strong communication skills, and ability to present complex information in an easy-to-understand form.
- Proven experience of winning work with private and public sector clients, and experience of data science platforms and machine learning frameworks.
- Cloud platforms experience, and ability to lead teams who build and deploy solutions to cloud platforms.
- Technology deployment experience, and ability to lead teams using technologies such as Docker, Kubernetes, and CI/CD platforms.
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. We are a responsible and diverse organisation of over 360,000 team members in more than 50 countries, with a strong 55-year heritage and deep industry expertise.
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