Artificial Intelligence Architect Full-time

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

We are seeking an experienced AI Architect with a strong background in Machine Learning to join our team. The ideal candidate will have over 10 years of experience in AI/ML model development and deployment, along with deep dive analysis skills. This role also requires at least 3 years of experience as a Solution Architect.

• Develop and deploy AI/ML models with a focus on deep dive analysis.
• Implement end-to-end data-driven solutions using Analytical modeling techniques, machine learning, deep learning, and MLOps frameworks.
• Demonstrate expertise in supervised and unsupervised machine learning, deep learning algorithms, and MLOps.
• Conduct model validation, explainability, monitoring, and management (AI Glass Box).
• Utilize latent semantic analysis, document similarity models, document classification, text analytics, and language models.
• Develop recommender systems using content-based and collaborative filtering techniques.
• Apply computer vision and image analytics, including neural networks, convolutional neural networks, and recurrent neural networks.
• Perform Analytical modeling and forecasting analytics.
• Conceive and implement Generative AI solutions.

Required Skills and Experience: –

• Over 10 years of experience in AI/ML model development and deployment.
• At least 3 years of experience as a Solution Architect.
• Proficiency in implementing data-driven solutions using statistical techniques, machine learning, deep learning, and MLOps frameworks.
• Strong competencies in supervised and unsupervised machine learning, deep learning algorithms, and MLOps.
• Experience with model validation, explainability, monitoring, and management (AI Glass Box).
• Knowledge of latent semantic analysis, document similarity models, document classification, text analytics, and language models.
• Expertise in recommender systems, computer vision, and image analytics.
• Familiarity with neural networks, convolutional neural networks, and recurrent neural networks.
• Experience in statistical modeling and predictive analytics.
• Proven ability to conceptualize and implement Generative AI solutions.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.