AI/ML Specialist

About the role

Capgemini Engineering is seeking an AI/ML Specialist to design and deploy intelligent edge‑computing solutions that enable real‑time monitoring, control, and optimisation of manufacturing processes.

Key responsibilities

• Design and implement edge computing solutions for manufacturing, including hardware/software integration and secure cloud connectivity.
• Develop, train, and deploy machine‑learning models (e.g., lightweight CNNs, LFMs) for real‑time anomaly detection, defect classification, and closed‑loop process control on edge devices.
• Implement intelligent data‑filtering and streaming methods to prioritise high‑value process data for cloud transmission and continuous model improvement.
• Collaborate with multidisciplinary teams to ensure seamless integration of AI/ML solutions with existing manufacturing systems.
• Prepare technical documentation and contribute to scientific publications or white papers.

Required profile

• Master’s degree in Data Science, Materials Engineering, Mechanical Engineering, or a related technical field.
• Minimum 2 years of hands‑on experience with edge computing, industrial IoT applications, and cloud integration architectures.
• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch) and advanced programming skills (Python, C++).
• Proficiency with data‑processing tools such as OpenCV and GStreamer.
• Proven experience developing real‑time data analysis systems, anomaly detection algorithms, and process‑control solutions.
• Excellent analytical, problem‑solving, and communication abilities.

Required skills

• Python
• C++
• TensorFlow
• PyTorch
• OpenCV
• GStreamer
• Edge computing solutions
• Industrial IoT applications
• Cloud integration architectures
• Anomaly detection algorithms
• Data processing tools