> Markdown version of [/jobs/ext/2665384-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2665384-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI/ML Engineer

- **Company:** Ecovadis Sas
- **Location:** Manresa, Spain (Remote available)
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Artificial Intelligence, Microsoft Azure, Business Software, Code Review, Monitoring of Systems, Python (Programming Language), Machine Learning, Azure Active Directory, Azure Machine Learning, Software Construction, Kubernetes, Information Technology, Bicep, Non-relational Database, Build Process, Machine Learning Operations, Software Coding, Restful APIs, Docker, Databricks
- **Published:** September 2, 2026
- **Apply:** https://www.themuse.com/jobs/ecovadis/senior-aiml-engineer-97222f

## About the Role

You have an outgoing personality along with an exceptional level of drive and a desire to pursue a career in an international and dynamic environment. You also possess excellent verbal and written communication, critical thinking and analytical skills.

 * Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
 * Industry experience in driving, designing and implementing production-grade AI/ML systems and integrating those into business applications as well as model monitoring at scale
 * Strong programming skills in Python and related ML libraries
 * Strong experience of AI/ML lifecycle, principles, and MLOps / LLMOps / AgentOps tooling (e.g., MLflow, LangChain, VectorDBs, Evaluation frameworks, etc)
 * Experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Foundry, Azure Bicep, AzureML and Azure Cloud Storage) and Databricks
 * Solid understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
 * Experience with REST API for ML model serving
 * Experience with Docker and container orchestration
 * Experience with relational and non-relational databases
 * Experience in cross-functional collaboration in the development of AI/ML products and services (e.g., Engineers, Product Managers)

 * Contribution to open-source libraries is a plus

## Description

We are looking for a highly motivated Senior AI/ML Engineer to join our growing AI Center of Excellence, responsible for using AI and machine learning to drive innovation across the organization.

Your responsibilities will include (but will not be limited to):

 * Leverage data to solve business problems of various business units at EcoVadis
 * Design, develop, deploy and maintain scalable AI/ML systems
 * Design AI/ML pipelines by applying the best practices in MLOps / LLMOps / AgentOps
 * Build AI/ML engineering infrastructure and systems to orchestrate batch and real-time pipelines
 * Run large-scale experiments and tests to ensure quality and efficiency of ML and data pipelines
 * Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes, * Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Foundry) and Databricks to deliver end-to-end solutions


## 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)
- [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [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 build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)

## Related Articles

- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [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)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [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)