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Generative AI Data Scientist

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelNo degree limit

Description

Job Summary: We are seeking a Data Scientist specialized in Generative AI for consulting, AI service development, project and team management within the public sector. Key Responsibilities: 1. Lead generative AI projects in the public administration. 2. Develop innovative AI solutions with significant technological impact. 3. Manage teams and coordinate technical deliverables. ### **Description** At Izertis, we are looking to expand our team by incorporating a Data Scientist specialized in Generative AI to join one of our most important clients in the Public Sector. **What will your responsibilities be?** * Providing consulting and developing AI services within the functional context of public administration, with a strong technological and innovation focus. * Project management, including preparation, monitoring, and updating of planning documentation. * Team management and communication with other teams to manage expectations, gather requirements, and present results. * Coordination and supervision of all technical deliverables and tasks falling within the scope of the service, including: + Coordination with other system owners within the ecosystem where the platform will be deployed. + Identification of ways to leverage information through artificial intelligence. + Support in defining and analyzing AI-related information systems. + Definition and implementation of processes related to data extraction, transformation, and loading (ETL). + Market analysis of platforms and systems related to AI, customer adaptation, and definition of architectures and systems—both on-premise, cloud-based, or hybrid infrastructures. * Ingestion of data from all types of sources, methods, and structures. * Development of data analysis strategies. * Preparation of analysis, design, and development documentation (e.g., user manuals, test plans, requirement traceability documents, etc.) for projects under this service, including logical and physical data models. * Monitoring compliance with methodological and security standards, ensuring adherence to software application security standards. Supporting teams in resolving vulnerabilities. ### **Minimum Requirements** **What are we looking for?** * Minimum general experience of 7 years in IT projects. * Minimum specific experience of 5 years in IT projects performing technological consulting, analysis, design, and development of information systems based on processing large volumes of data or artificial intelligence. * Minimum 5 years of technical consulting experience in Python, including development using libraries across the following three domains: + Big Data (pandas or numpy) + Data Science (scikit-learn) + Data Visualization (matplotlib, seaborn, notebooks) * Minimum 3 years of Python API development experience using FastAPI or Flask, along with OpenAPI or Swagger documentation, in CI/CD environments with pipelines in Airflow, Kubeflow, or Prefect, containerized via Docker and deployed on Kubernetes. * Minimum 3 years of technical consulting experience in Generative AI, particularly on RAG architecture using GPT, LLaMa, or Mistral models, Transformers libraries, fine-tuning techniques, embeddings, and LLM evaluation. * Minimum 1 year of experience in IT projects managing container orchestration, Kubernetes clusters, and observability infrastructure. Only experience between one year and the maximum assessable threshold will be considered. * Minimum 1 year of experience in IT projects administering and querying vector databases. Only experience between one year and the maximum assessable threshold will be considered. **Where would we like you to be located for this position?** This role will be carried out at the client’s offices located at Calle Enrique Granados 6, 28224 Pozuelo de Alarcón, Madrid, under a hybrid work model. **What can we offer you?** * Indefinite-term employment contract. * Salary negotiated according to your experience and expectations. * Flexible working hours: 8 hours Monday–Thursday and 7 hours on Friday. During June, July, August, and September, you will benefit from Summer Working Hours. * Flexible compensation package, allowing you to select medical insurance, meal vouchers, childcare vouchers, or transportation vouchers. * Free English classes to improve or reinforce your current level. * Access to an extensive benefits portal offering products and services across multiple sectors (flights, hotels, fashion, technology, home goods, etc.) at preferential rates for Izertis employees. * 22 working days of vacation per year, your birthday off, and December 24th and 31st as additional holidays. **About Izertis** At Izertis, we drive digital transformation for companies, organizations, and individuals through tailored, innovative, and impactful technological solutions. Founded in 1996—soon to celebrate 30 years—and listed on the BME Continuous Market, Izertis is recognized as one of the 1000 fastest-growing companies across European countries. Currently, we have over 2,300 professionals distributed across offices in Europe, the Americas, and Africa, serving clients in more than 50 countries with a broad portfolio of solutions, including: Software Engineering; Consultancy & Governance; Cloud & Infrastructure; Cybersecurity; AI & Data & Emerging Technologies; CX & Business Solutions; and other enabling technologies for digital transformation processes. Would you like to join our team? If so, don’t hesitate to apply so our Talent team can get to know you! Also, remember to check other interesting opportunities in the Jobs section of our website: https://www.izertis.com/es/talento Location**Madrid** Category**Engineers and Technicians** Subcategory**Other Engineering Disciplines** Sector**Programming, Consulting, and Other IT Activities** Working Hours**Full-time** Work Modality**Hybrid (On-site and Remote)** Professional Level**Employee** Department**IT**

Source: indeed
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David Muñoz

Indeed · HR

Location

David Muñoz

Indeed · HR

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