Présentation de la société : SIEMENS DIGITAL INDUSTRIES SOFTWARE DIGITAL INDUSTRIES
Continuité numérique, simulation multiphysique, jumeaux numériques, exploitation de la donnée, métaverse industriel …
Le portfolio de Siemens Digital Industries Software accompagne tous les secteurs industriels (Automobile, Aéronautique, Electronique, Energie, Pharma, Cosmétique, Agroalimentaire, …) dans leur transformation numérique.
Venez faire preuve d’ingéniosité à nos côtés et donner un nouveau sens à votre carrière dans un environnement dynamique commercialement et humainement !
Missions
- Real-World Impact: Build and deploy tools used daily by Ops/SRE teams to improve SaaS reliability.
- Modern Exposure: AIOps, LLM prompt engineering, RAG pipelines, self-healing automation, and cloud-native workflows.
- Portfolio Power: Deliver production prototypes, dashboards, and smart chatbots you can showcase anywhere.
- Ops Intelligence & Knowledge Engineering
- Shadow SRE and Ops professionals to understand real-life workflows and incident patterns.
- Analyze and organize our runbooks and playbooks, modernizing them into dynamic, easy-to-search formats.
- Use NLP techniques to extract, enrich, and automate operational knowledge from chats, tickets, and logs.
- AI-Powered Automation & Anomaly Detection
- Build and train models to detect anomalies and predict incidents using live operational and support data.
- Integrate machine learning into dashboards for proactive alerting and trend analysis.
- Explore brand-new methods (LSTM, Isolation Forest, Prophet, etc.) for keeping systems healthy and reliable.
- Conversational AI & Smart Chatbots
- Create and deploy a chatbot that becomes a teammate for our Ops and support staff.
- Implement Retrieval Augmented Generation (RAG) and integrate the latest LLMs (OpenAI, Llama2, etc.) to provide instant answers, solving steps, and runbook guidance.
- Develop feedback mechanisms so the chatbot learns and improves continuously.
- Intelligent Automation & Root Cause Analysis
- Prototype scripts or workflows that automate frequent fixes or bring up incidents programmatically - embarking on the path to “self-healing systems.”
- Build models to predict root causes based on historical data and incident relationships.
- Visualize operational knowledge through graphs and interactive dashboards.
- You show strength in Python and Golang, which will be used as solution languages.
- You understand the concepts in Cloud, DevOps & Micro-services.
- Your interpersonal and communication skills in both French and English enable effective collaboration within the team.
- You can work autonomously as well as collaboratively with mentors.
Profil recherché
Les atouts pour réussir :
En cours de formation supérieure en informatique (BAC+5) ou équivalent, en France :
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Vous maîtrisez Python/Go, des API et de la manipulation de données (data wrangling) .
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Vous avez un intérêt pour les domaines du ML (Machine Learning) , du cloud, du DevOps et de la PNL et avez une bonne compréhension des architectures micro-services.
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Autonome et agile, vous aimez communiquer et êtes doté(e) d'un esprit créatif de résolution de problèmes.
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Votre relationnel et vos capacités de communication, en français comme en anglais, vous permettent d’instaurer une collaboration efficace au sein de l’équipe.