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Capgemini
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.
• Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications.
• Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems.
• Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling.
• Leverage generative AI and large language models (LLMs) to develop innovative applications.
• Collaborate with data engineers to design data pipelines and ensure data quality and accessibility.
• Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle.
• Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs.
• Ensure best practices in AI/ML model development, including versioning, testing, and validation.
• Stay updated with the latest advancements in AI/ML technologies and incorporate them into architectural designs.
• Communicate complex AI/ML concepts and solutions effectively to non-technical stakeholders.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field with proven experience (8+ years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI.
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras and experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
• Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc.
• Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences and experience in leading and mentoring technical teams.
• Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.
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.
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