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# Data Scientist- Gen AI

- **Company:** LEVY PROFESSIONALS
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Extract Transform Load (ETL), DevOps, Python (Programming Language), Natural Language Processing, Large Language Models, Generative AI, Git, Containerization, Machine Learning Operations
- **Published:** June 5, 2026
- **Apply:** https://nl.indeed.com/viewjob?jk=e6687e7b7f20e1b9

## About the Role

Do you have experience in Python?, You are a Data Scientist with a passion for Generative AI and a strong engineering mindset. You enjoy turning business challenges into scalable AI solutions and thrive in collaborative environments where innovation, ownership, and continuous learning are encouraged. You are comfortable working across the full lifecycle of AI products, from experimentation and model development through to deployment and production support, while keeping business impact at the centre of your work., * 5+ years of experience as a Data Scientist or in a similar role with strong Python development skills

 * Experience with NLP, LLMs, Generative AI applications, and model development, deployment, and monitoring
 * Strong engineering capabilities including Git, CI/CD, APIs, cloud platforms, containerisation, ETL processes, and database technologies
 * Experience working with MLOps, LLMOps, DevOps, and cloud-based production environments such as Azure
 * Strong communication skills with the ability to collaborate across technical and non-technical stakeholders while coaching and sharing knowledge with others

## Description

* Design, build, test, deploy, and maintain scalable Generative AI solutions in production environments
 * Work closely with business stakeholders to understand challenges and translate them into impactful AI-driven solutions
 * Develop reusable GenAI components and contribute to the adoption of AI capabilities across multiple business domains
 * Collaborate with engineers, product specialists, and fellow data scientists to deliver high-quality and responsible AI applications
 * Contribute to MLOps, LLMOps, automation, monitoring, and continuous improvement of AI solutions


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