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Capgemini

Global consulting, technology services, outsourcing

AI Consultant - m/w/d

Applied Machine LearningUpdated on Nov 14
Full-timeVienna, Austria€51k /yr

About the Job

Requirements

  • A completed degree in Computer Science, Data Science, Engineering Sciences, or a comparable field.
  • Two to four years of relevant experience in Data Science, AI Engineering, or Cloud Platforms.
  • Experience taking responsibility for individual project areas or work streams.
  • Experience leading project teams.
  • Knowledge of tools and technologies relevant to the chosen specialization.
  • For AI/ML Engineering: Python, PyTorch or TensorFlow, Hugging Face, retrieval-augmented generation pipelines and agent frameworks such as LangChain or LlamaIndex, vector databases such as Pinecone or FAISS, and MLOps automation including MLflow, continuous integration and delivery, monitoring, and evaluation pipelines.
  • For Data Analytics and Business Intelligence: Power BI, Tableau, dashboard and reporting tools, SQL, data modeling, semantic layers, key performance indicator definition, extract-transform-load and extract-load-transform tools, data profiling, and data governance.
  • For Cloud Platform Engineering: cloud services on Azure, AWS, or Google Cloud Platform, Databricks, Snowflake, Spark, lakehouse architectures, and platform patterns such as feature stores, vector stores, and data lakehouses.
  • Strong analytical thinking, a structured approach to work, and problem-solving skills.
  • A team-oriented approach, confident professional presence, and hands-on mindset.
  • Very good spoken and written German and English.

Responsibilities

  • Work on modern AI and data solutions supporting client transformation.
  • Design end-to-end AI use cases, from data foundations and modeling through engineering to scalable cloud platforms, according to the chosen specialization.
  • Develop copilots, agents, and production-ready AI services in the AI/ML Engineering specialization.
  • Work with modern cloud ecosystems such as Azure, AWS, or Google Cloud Platform in the AI/ML Engineering specialization.
  • Automate model training, deployment, monitoring, and scaling, and build guardrails, observability concepts, and evaluation pipelines in the AI/ML Engineering specialization.
  • Develop analytics and dashboard solutions, define data models and key performance indicators, and derive business insights in the Data Analytics and Business Intelligence specialization.
  • Advise business units on data-driven decision-making and evolve existing data products toward future machine learning and generative AI use cases.
  • Build and operate cloud-based data and AI platforms, and automate and scale data engineering, analytics, and AI workflows in the Cloud Platform Engineering specialization.
  • Integrate platform patterns such as feature stores, data lakehouses, and vector stores.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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