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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior Ai & Ml Engineer - **Company:** Blu Selection - **Location:** Barcelona, Spain - **Salary:** €40,000.0 - €50,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Microsoft Azure, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Software Architecture, Delivery Pipeline, Containerization, Data Analytics, Machine Learning Operations, Docker, Databricks - **Published:** August 6, 2026 - **Apply:** https://www.buscojobs.com.es/junior-ai-ml-engineer-en-barcelona-ID-365284848 ## About the Role production monitoring of AI systems* Experience working in Agile environments with ability to communicate technical concepts to tech and non-tech stakeholders* Professional fluency in English; French is a strong plusRequisitos principales* permanent contract* flexible working hours* balanced hybrid model* salary 40K-50K* life and accident insurance* generous vacation policy ## Description Experteer Overview ¿Listo para inscribirse?Antes de hacerlo, asegúrese de leer todos los detalles pertenecientes a este trabajo en la descripción a continuación.In this role you will develop and scale ML solutions end-to-end within a global fragrance and ingredients leader.You will work closely with cross-functional teams to translate research into production-ready systems, applying robust MLOps practices and data-driven thinking.You'll tackle real-world Ru****amp;D challenges, ensuring compliant and ethical AI deployment.The position offers a stable, international environment with a focus on growth, sustainability, and technology-driven impact.Compensaciones / Beneficios* Deliver code for data, modeling, and deployment pipelines integrated into solid software architectures* Implement and maintain MLOps workflows including CI/CD, containerization, and model observability* Lead the design, development, and optimization of scalable AI solutions aligned with best practices* Work in an Agile framework to translate research into predictable production value with data privacy and ethics in mind* Partner with technical and business stakeholders to convert complex challenges into technical requirementsResponsabilidades* 1-3 years of IT/engineering experience with hands-on AI/ML and some technical leadership* Advanced proficiency in Python and solid understanding of AI/ML algorithms, architectures, and data engineering practices* Hands-on experience with Azure xqbhyrx ML or Databricks, CI/CD pipelines, Docker, and production monitoring of AI systems* Experience working in Agile environments with ability to communicate technical concepts to tech and non-tech stakeholders* Professional fluency in English; French is a strong plusRequisitos principales* permanent contract* flexible working hours* balanced hybrid model* salary 40K-50K* life and accident insurance* generous vacation policy ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)