Introduction
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
Your role
Data & AI department is looking for an Artificial Intelligence Engineer who will work in a team responsible for the development of new solutions in Artificial Intelligence area.
You will develop new modules/systems/product concepts, integrating innovative technologies explored and optimized by all GEO departments, to include new algorithms, new features and functions, specifications, prototypes creation and experimental testing/validation.
The position involves working in an international, multi-competence and cross product environment. You are innovative in coming up with new ideas that add value to the customer and constantly challenges the status quo. You strive for a visible, measurable benefit from every action.
A REGULAR DAY AT WORK :
• Understanding business problems, identify or apply the right AI technology
• Design, develop and support the implementation of Machine Learning and Deep Learning capabilities
• Support the technologies/technology modules integration on Smart Appliances, APPs and Cloud Infrastructures to ensure proper interfaces with the existing product architectures and modules
• Scouting and proposal of new consumer-relevant innovative technologies and solutions
• Work and collaborate in an international environment with multiple global teams, competence centers and experts, research institutes and universities.
YOU :
• Team player. In this role cross-functional collaboration is everything, so you should be comfortable in dealing with people with different backgrounds and responsibility
• Good listener and communicator. You will become the spider in the web and work with other Electrolux offices around the world on a daily basis – therefore these attributes are key for making projects run smoothly
• Proactive. You are keen for new experience, responsibility and accountability. You are self-driven, results-oriented with a positive outlook. You are assessing and investigating feasibility of new technologies and ideas
• Adaptive. You like challenges and you are flexible to adapt to new situations and contexts
• Creative. You love to explore new ways of thinking and you are oriented towards innovation
Your Skills
Master's degree (M.Sc.)/ Engineering degree in Computer Science, Data Science, Mathematics, Electrical/Electronic Engineering, or a related field. A PhD is a plus.
Mandatory skills:
We are seeking a mid-level AI Engineer/Data Scientist with hands-on experience designing, prototyping, and deploying Deep Learning solutions, particularly in one or more of the following areas:
• Computer Vision: CNNs, object detection, image classification, semantic segmentation, and familiarity with modern architectures (e.g., Vision Transformers, YOLO family, foundational vision models).
• Natural Language Processing & LLMs: experience with transformer-based models, prompt engineering, fine-tuning (LoRA, QLoRA), retrieval-augmented generation (RAG), and agentic AI workflows.
• Strong proficiency in Python and PyTorch. Experience with the Hugging Face ecosystem (Transformers, Datasets, PEFT) and familiarity with frameworks such as LangChain, LlamaIndex, or vLLM is valued.
• Understanding of the full ML lifecycle: data preparation, experiment tracking (e.g., MLflow, W&B), model optimization (quantization, pruning, distillation), and deployment.
• Strong experience with linux based system, docker container and webservices framework (e.g. FastAPI). Knowledge of service deployment in the cloud with AWS and Kubernetes environment is considered a plus.
• Experience with model deployment on edge/embedded platforms (e.g., ONNX Runtime, TensorRT, OpenVINO) or cloud environments is a strong plus.
• Familiarity with git and CI/CD pipelines (i.e. CircleCI, github action).
• Good communication in English, both written and spoken.
Our Offer
Join a multicultural and inclusive team environment.
• Enjoy a supportive atmosphere promoting work-life balance.
• Hybrid work (depends on the Project)
• Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
• Access valuable training and certifications in cutting-edge technologies.
• Engage in exciting national and international projects.
• Referral program with bonuses for talent recommendations