The posting
Company description About Publicis Sapient Most companies in the AI era do one of two things: they advise, or they sell you a tool. We do both. Publicis Sapient is a technology company that provides enterprise AI platforms and services, which means we build our own AI platforms and bring the strategists, product thinkers, designers and engineers who make them work inside the world's most complex businesses. It is where people and products shape the future of enterprise, and where your ideas actually reach the organizations that run the world. If you want to question how things are done, learn continuously and do the best work of your career alongside 20,000 people across 28 countries, you're in the right place. Come build with us. Our Commitment to Inclusive Hiring We are committed to fostering and encouraging an inclusive and welcoming environment for everyone and we believe great talent comes from many different backgrounds, experiences, and perspectives. That is why we are committed to creating a hiring process where everyone has an equal opportunity to succeed and feel safe. We welcome applications from all backgrounds and identities including: race, ethnicity, nationality, gender, disability, sexual orientation, gender identity, or religion and value the diverse experiences, perspectives, and strengths they bring to our teams. If there is anything we can do to make our recruitment process more accessible or comfortable for you, please let us know. We are happy to provide reasonable adjustments throughout the application and interview process. You can contact us anytime at [email protected] Your Safety Matters To Us At Publicis Sapient, we are committed to protecting candidates throughout every step of their journey with us. To help you stay safe from recruitment scams, please remember that our recruiters will only ever contact you from a Publicis Sapient email address. In some cases, we may partner with trusted, vetted recruitment agencies who will clearly identify themselves as working on behalf of Publicis Sapient. If you receive communication from any other domain claiming to represent us, please treat it with caution and contact us at [email protected] Overview Why This Role Matters Publicis Sapient is looking for an AI Engineer who combines strong technical expertise with a passion for solving complex business challenges through Artificial Intelligence and Machine Learning. In this hands-on role, you'll partner with product and business teams to identify opportunities where AI and Machine Learning can deliver measurable value. You'll take solutions from experimentation and prototyping through production deployment, with a strong focus on Computer Vision, Deep Learning, real-time video processing, edge deployment, and privacy-by-design. You'll thrive in this role if you enjoy turning complex AI problems into scalable, production-ready solutions, optimizing models for latency, memory, and compute constraints, and taking ownership across the full AI/ML lifecycle. You'll work with technologies such as Python, C++, TensorFlow, PyTorch, Keras, ONNX, TensorRT, GPU and automotive compute platforms, alongside modern MLOps practices. This role is an excellent opportunity for someone who would like to join an international global organization with a 'start-up' mentality. We highly value Openness, Collaboration, Learning Mindset and partner with our clients to drive positive outcomes. Where You'll Make an Impact Partner with product and business teams to understand challenges, identify opportunities, and frame problems where AI and Machine Learning can deliver measurable value. Design and build Machine Learning pipelines, taking solutions from experimentation and prototyping through production deployment. Develop, fine-tune, and optimize AI models while ensuring scalability, performance, and responsible use of AI. Design and optimize Computer Vision and Deep Learning solutions for object detection and tracking, particularly for faces and license plates. Optimize models for edge deployment using technologies such as ONNX and TensorRT. Build solutions for GPU and automotive compute platforms, with a strong focus on real-time video processing. Optimize models and inference pipelines for latency, memory usage, and compute constraints. Implement blur, masking, and other methods of irreversible anonymization while applying privacy-by-design principles to video data. Set up and maintain AI/ML development and production infrastructure using MLOps best practices, including CI/CD, monitoring, observability, and model versioning. Build robust data ingestion, transformation, and feature engineering pipelines to support high-quality AI applications. Identify and curate high-value training datasets, leverage transfer learning, and adapt pre-trained models to business-specific contexts. Help stakeholders understand AI outcomes, limitations, and trade-offs, supporting transparency, interpretability, and alignment with business goals. What You'll Bring to the Team Solid experience designing, developing, and deploying AI/ML products or models in production. Strong Python and C++ skills for deployment and inference. Strong understanding of Computer Vision and Deep Learning, particularly object detection and tracking for faces and license plates. Strong knowledge of model optimization for edge deployment, including ONNX and TensorRT. Experience working with GPU and automotive compute platforms. Good knowledge of real-time video processing and experience optimizing models for latency, memory, and compute constraints. Experience with blur, masking, or other methods of irreversible anonymization. Understanding of privacy-by-design requirements for video data. Solid experience with data manipulation and Machine Learning tooling, including NumPy, Pandas, and scikit-learn. Proven experience building and fine-tuning models with TensorFlow, PyTorch, and Keras. Strong algorithmic and problem-solving skills, with the ability to deliver end-to-end solutions under time constraints. Additional Experience We Value Knowledge of LLMs, RAG systems, and vector databases. Experience with MLOps and cloud-native development, including Docker, Kubernetes, CI/CD, feature stores, and model monitoring. Practical experience with cloud AI platforms. Additional information What You’ll Get in Return A fast-paced tech environment Continuous growth & learning Open feedback culture Room for own initiative & ideas Transparency about results & strategy Recognition & reward for hard work Working with a flexible schedule Medical subscription Meal tickets Extra vacation days - starting with 25 vacation days Many others perks
