Join us at Capgemini Global Insights & Data, a market leader in data, platform, and analytics across diverse sectors such as financial services, consumer products, manufacturing, and life sciences. We are proud of our end-to-end data integration capabilities, advanced AI engineering skills, and sector-focused analytics solutions.
We are seeking a highly skilled and innovative Data Scientist with expertise in Edge AI to design, develop, and optimize machine learning models tailored for deployment in edge computing environments and embedded systems. This role involves optimizing models for real-time processing, ensuring minimal latency, and maximizing computational efficiency on resource-constrained devices.
Your Responsibilities:
- Develop, refine, and deploy machine learning models for edge computing and IoT.
- Perform advanced data processing to ensure high-quality feature extraction and model accuracy.
- Optimize AI models for real-time inference, ensuring efficiency in energy, latency, and memory usage.
- Collaborate with cross-functional teams to integrate AI into edge and IoT solutions.
Your Expertise:
- Proficiency in Python and hands-on experience with AI tools like TensorFlow Lite, ONNX, LangChain, Vertex AI, LLaMA, Mistral, and Langgraph.
- Proven track record in deploying ML models for edge devices and IoT systems.
- Expertise in embedded systems and edge deployment technologies.
- Strong data analytics and statistical modeling abilities to drive AI-powered decision-making.
Location: Al Khobar, Eastern, Saudi Arabia (On-site)
Work Conditions: Full-time
At Capgemini, we are focused on growing client businesses while building a more sustainable and inclusive future. Joining us means becoming part of a diverse collective of free-thinkers, entrepreneurs, and industry experts. Together, we seek opportunities to help transform the world’s leading businesses while you gain the experiences and connections that shape your future. By fostering a culture of knowledge sharing and continuous improvement, you’ll build the skills to help our clients leverage technology for innovation and growth.
