Data & IA Engineer (F/H)

About the role

At IPPON TECHNOLOGIES, the Data & IA Engineer (F/H) role is positioned as a pivotal technical contribution within a collective framework dedicated to positive technological impact. We are convinced that intelligence collective is the key to overcoming increasingly innovative challenges for our clients (source: "IPPON TECHNOLOGIES... nous sommes convaincus que l'intelligence collective est la clé pour relever les défis toujours plus innovants de nos clients"). This position orchestrates the full lifecycle of data-centric and intelligent systems, translating ambiguous business challenges into concrete data products and AI solutions that deliver measurable value. You will own the architecture, development, and operationalization of machine learning models from experimentation to production scale, working within multidisciplinary teams to ensure alignment with strategic business objectives. The role emphasizes rigorous monitoring of model performance and data quality to uphold reliability and ethical standards, while actively contributing to the collective knowledge base through documentation and championing MLOps and data engineering excellence (source: "IPPON... l'intelligence collective est la clé" et "garantir la qualité, la fiabilité et l'éthique des modèles").

What you'll do

You will orchestrate the development and industrialization of machine learning and artificial intelligence solutions, managing the complete lifecycle from training through deployment to continuous monitoring. This includes architecting and implementing robust, high-performance data pipelines to handle ingestion, preparation, and transformation, ensuring data readiness for advanced analytics and AI (source: "vous concevez et mettez en place des pipelines de données performants et robustes... pour alimenter les modèles IA"). You will drive the deployment of artificial intelligence solutions using MLOps practices, including CI/CD workflows, containerization, observability, and automated testing (source: "vous contribuez à la mise en production de solutions IA via des pratiques MLOps (CI/CD, conteneurisation, observabilité, tests automatisés)"). A key aspect involves partnering closely with data scientists, software engineers, and business stakeholders to design and deliver high-impact AI products that solve real-world problems (source: "vous travaillez en collaboration étroite avec les équipes data, software et métiers"). You will establish and maintain rigorous standards for quality, reliability, and ethics in data usage and model behavior across the entire project lifecycle (source: "vous garantissez la qualité, la fiabilité et l'éthique des modèles et des données"). Additional responsibilities include conducting proactive technological surveillance and actively contributing to the internal AI community by sharing insights through articles, BBLs, datapéros, meetups, and tech events (source: "veille technologique, au partage de connaissances... communauté IA d'Ippon"). You will optimize data workflows and model performance, ensuring scalability, maintainability, and alignment with cloud-native architectural principles. You will implement monitoring strategies for data and models to detect drift, anomalies, and performance degradation in production environments. You will champion the adoption of responsible AI principles while contributing to the improvement of engineering standards and practices. The role also involves supporting the growth of junior team members through mentorship, code reviews, and technical guidance within a collaborative environment (source: "participez à la conception, au développement et à l'industrialisation de solutions basées sur la donnée et l'intelligence artificielle").

Requirements

Holding a Bac+5 degree, you bring a proven track record of at least 3 years working on diverse projects in Data Science, MLOps, or Applied Artificial Intelligence (source: "De formation Bac+5... expérience démontrée... au minimum 3 ans"). You demonstrate mastery of Python and SQL, essential for data manipulation, feature engineering, and model development (source: "Vous maîtrisez les langages Python et SQL"). You possess hands-on experience with production data pipeline tools and frameworks such as Docker, Airflow, dbt, MLflow, and monitoring solutions like Datadog (source: "outils liés à la création de pipelines de production (Docker, Airflow, dbt, MLflow, Datadog...)"). You have a solid grasp of core artificial intelligence fundamentals, including Machine Learning, Deep Learning, and Natural Language Processing (source: "culture des fondamentaux de l'intelligence artificielle : Machine Learning, Deep Learning, NLP"). You are proficient in at least one major deep learning framework, such as TensorFlow, PyTorch, or Hugging Face ecosystems (source: "Maîtrise d'au moins un framework : TensorFlow, PyTorch ou Hugging Face"). You understand the architecture and lifecycle of generative AI systems, including Large Language Models, fine-tuning techniques, RAG, and alignment methods like DPO and SFT (source: "connaissance des systèmes d'IA générative : LLMs, fine-tuning, RAG, DPO, SFT"). You have practical experience in designing and validating Proof of Concepts for AI applications, covering experimentation design, data structuring, and evaluation metrics (source: "Maîtrise de la conception de POC IA (expérimentation, structuration des données, évaluation)"). You maintain strong knowledge of data architecture and MLOps patterns, enabling you to build scalable and maintainable intelligent systems. You are comfortable working with at least one major public cloud platform, whether AWS, Azure, or Google Cloud Platform (source: "à l'aise avec au moins un cloud public (AWS, Azure ou GCP)"). You are passionate about continuous learning and eager to share your expertise within a community that values knowledge exchange and collective growth, embodying the values of communautés, excellence, bienveillance, and engagement as reflected in IPPON's commitments to a positive societal and environmental impact (source: "nous sommes convaincus que l'intelligence collective est la clé... valeurs... engagement... impact positif").