ABOUT THE JOB YOU ARE CONSIDERING

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 SKILLS AND EXPERIENCE

• Understanding of some or all of the following: web development, data processing techniques, distributed computing, high performance computing, cloud computing (like AWS), deployment and maintenance, object-oriented programming (OOP), software as a service (SAAS), etc.
• Deep understanding of back-end software development, front-end development and database management, data science and machine learning,
• Strong programming skill in Python, SQL, PostgreSQL, MongoDB, HTML, JavaScript, React, Angular, FastAPI, RESTAPI or similar languages
• Familiar with machine learning algorithms involving multiple data types
• Experience with Linux operating system (Ubuntu, CentOS, etc.)
• Experience with Docker/Kubernetes, DevOps, MLOps, CI/CD, GitlabExperience working on Agile projects and Agile methodology in general

• Design and develop high-performance AI/ML/GenAI web solutions to solve various engineering and business challenges.
• Developing front-end and back-end components for web applications, integrating AI algorithms and models into web applications to provide AI-driven functionality.
• Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.
• Deploying web applications in a production environment, including local server or cloud platforms like AWS.
• Design and manage databases to store user data and AI-related information.
• Set up and configure the infrastructure needed for AI and web solutions, including servers, databases, cloud services and networking components.
• Implement CI/CD pipelines to automate the deployment of AI and web solutions, ensuring rapid and reliable delivery.
• Monitor the performance of AI and web solutions in production, and optimize them for improved scalability, reliability, and efficiency.
• Conduct testing and quality assurance activities to ensure the reliability, security, and performance of AI and web solutions.Hands-on prototyping of new technology solutions by working with cross teams