AI/ML Specialist

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Key Respobsibilities We are looking for an experienced AI/ML expert to develop and deploy intelligent edge computing solutions for real-time monitoring, control, and optimisation of manufacturing process. The focus will be on AI/ML model development, edge-cloud integration, and data-driven process control. You will be accountable for: Designing and implementing edge computing solution for a manufacturing process, including hardware/software integration and secure cloud connectivity. Developing, training, and deploying machine learning models (e.g., lightweight CNNs, LFMs) for real-time anomaly detection, defect classification, and closed-loop process control on edge devices. Implementing intelligent data filtering and streaming methods to prioritise and transmit high-value process data to the cloud, supporting continuous model improvement. Collaborating with multidisciplinary teams to ensure seamless integration of AI/ML solutions with manufacturing systems. Preparing technical documentation and contribute to scientific publications/white papers Your Profile Master's degree in Data Science, Materials Engineering, Mechanical Engineering, or related technical field Minimum 2 years of hands-on experience implementing edge computing solutions, industrial IoT applications, and cloud integration architectures Strong expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch), advanced programming skills (Python, C++), and proficiency with data processing tools (OpenCV, GStreamer) Proven experience in developing real-time data analysis systems, implementing anomaly detection algorithms, and designing process control solutions Outstanding analytical capabilities, creative problem-solving approach, and effective communication skills across technical and non-technical audiences Working knowledge of manufacturing standards (e.g., ASTM F3605) and quality assurance methodologies Proven experience architecting solutions with cloud platforms (AWS, Azure) and implementing secure data management practices Knowledge of Additive Manufacturing technologies and applications is a distinct advantage What You'll Love About Working Here Be part of a world-class engineering organization, working on some of the most challenging AI problems in manufacturing, energy, automotive, life sciences, and beyond. Access to global AI research and innovation networks, with opportunities for continuous learning and certifications. A supportive, diverse, and inclusive culture where innovation thrives. Three Horizon Roadmap: Capgemini pioneers the dynamic landscape of innovation thanks to its 'Three Horizon' framework, covering the entire journey of the innovation cycle and helping clients to unleash their R&D potential. Free access to learning platforms: Free access for all to world-class learning assets and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more. Communities: Our Framework drives career development and elevates Capgemini's capabilities across various domains. Roles like architects, software engineers, these communities form the pillars of our Engineering Career Framework, outlining the foundational elements and anticipated growth. Mentoring programs: Capgemini empowers women at all career stages with programs spanning STEM education to career reentry. We value mentorship for fostering professional growth and empowerment within our engineering community. Worldwide Leader of Engineering Services: Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. We help our clients unleashing their R&D potential to develop smart products and services of tomorrow. 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 fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.