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# Machine Learning Engineer

- **Company:** Ai-driven
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Unit Testing, Code Review, Computer Programming, Data Cleansing, Software Debugging, DevOps, Python (Programming Language), Machine Learning, Tensorflow, Cloud Platform System, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Deep Learning, Model Validation, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents, Software Version Control
- **Published:** August 30, 2026
- **Apply:** https://www.jobleads.com/es/job/e1537572f450ad78c831cda4d3bf373a6

## About the Role

* Bachelors or Masters degree in Data Science, Computer Science, Mathematics, Statistics, or related field
 * Proven experience as a Machine Learning Engineer or similar role in AI solution development
 * Strong programming skills in Python, experience with ML libraries and deep learning frameworks (TensorFlow or PyTorch)
 * Practical experience implementing and deploying LLMs and related orchestration frameworks
 * Knowledge of agentic workflows, multi-agent systems, and advanced reasoning patterns
 * Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
 * Deep familiarity with relevant mathematical and statistical concepts (probability, linear algebra, optimization)
 * Experience implementing MLOps practices and working in DevOps-based environments
 * Excellent problem-solving, debugging, and optimization skills
 * Strong communication and ability to collaborate with cross-functional teams in an agile environment
 * Nice to have Experience designing RAG systems for enterprise-scale use
 * Prior exposure to AI governance, security, or compliance in financial services
 * Familiarity with cloud infrastructures and containerized ML deployments using Kubernetes
 * Proven track record of enabling AI-driven applications in production environments

Machine Learning, RAG, LLM, Python

## Description

* Design, develop, deploy, and optimize machine learning and AI solutions addressing complex business challenges
 * Build and integrate multi-agent systems and enable AI models with function/tool calling capabilities
 * Design and maintain RAG (Retrieval-Augmented Generation) systems to ground AI outputs in enterprise data
 * Integrate and fine-tune Large Language Models (LLMs) to ensure performance, consistency, and reliability
 * Optimize agentic workflows for production use cases while ensuring safety and accuracy
 * Evaluate and improve system performance using robust metrics, evaluation sets, and continuous iteration
 * Collaborate with data engineers, platform teams, and data scientists to integrate ML solutions into enterprise systems
 * Conduct code reviews, unit testing, and debugging to guarantee quality and maintainability
 * Ensure compliance with software development best practices across version control, testing, and documentation


## Related Videos

- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development)
- [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [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)