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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Ai/Ml Engineer - **Company:** Visium SA - **Location:** Laza, Spain - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Agile Methodology, Artificial Intelligence, Unit Testing, Microsoft Azure, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Information Engineering, Data Structures, Software Design Patterns, Digital Assets, Python (Programming Language), Machine Learning, Scrum Methodology, Software Architecture, Azure Machine Learning, Software Construction, Software Deployment, Software Engineering, Delivery Pipeline, Gitlab, Containerization, Information Technology, Data Management, Machine Learning Operations, Docker, Databricks - **Published:** August 8, 2026 - **Apply:** https://www.buscojobs.com.es/senior-ai-ml-engineer-en-laza-ID-366014316 ## About the Role You are passionate about AI and driven to deliver real-world impact through data. You thrive in R&D-heavy environments involving sparse or high-dimensional data, excelling at the intersection of experimental AI research and disciplined software engineering. You are a clear communicator who can explain technical trade-offs to both engineering peers and business stakeholders. Advanced AI/ML Engineering & Software Craftsmanship Production-Level Programming: Senior proficiency in Python, with a strong commitment to software engineering best practices (Design Patterns, Unit Testing, and Modular Code). System Design: Solid understanding of modern AI/ML architectures and data platforms to build robust, performant systems. Modeling Depth: Deep knowledge of AI/ML algorithms and the mathematical foundations required to tune models for high-precision R&D use cases. Data Engineering: Proficiency in handling data structures and pipelines to ensure model inputs are reliable and optimized. Advanced MLOps & Cloud Infrastructure Azure: Hands-on experience with the Azure ML SDK/CLI or Azure Databricks, including managed online endpoints, compute clusters, and data assets. CI/CD: Experience building and maintaining deployment pipelines using Azure DevOps or automation in Gitlab. Containerization: Proficiency in Docker for packaging and scaling AI/ML workloads within cloud-native environments. Observability & Reliability: Ability to implement monitoring for system health (latency/CPU) and model performance (drift, accuracy, and data quality). Professional Collaboration Agile Methodology: Experience working within an Agile/Scrum framework to deliver consistent project velocity. Technical Translation: Ability to communicate complex trade-offs clearly to non-technical stakeholders. Project Delivery: Proven track record of taking ML models from a research phase to a stable production environment. Contextual Plus Academic Background: Master's degree or higher in Computer Science, AI, Data Science, or a related field. Domain Expertise (Preferred): Exposure to formulation, chemistry or the Fragrance & Flavour industry. Languages: Full professional proficiency in English; French is strongly preferred. ## Description As a Senior AI/ML Engineer, you are a key technical contributor responsible for developing and deploying complex AI initiatives. You will focus on the end-to-end lifecycle of ML solutions, from technical design and coding to production deployment and continuous optimization. This is a high-impact technical role. You will apply deep engineering rigor to build scalable, reliable systems that solve real-world R&D challenges. You don't just build models; you ensure they are integrated into robust software architectures that meet the highest standards of performance and reliability.ResponsibilitiesTechnical Implementation: Contribute to the design and development of scalable, maintainable AI solutions aligned with modern best practices.Hands-on Development: Deliver high-quality code for data, modelling, and deployment pipelines, leading the team through engineering rigor.MLOps Mastery: Implement and maintain robust MLOps workflows, focusing on automated CI/CD, containerization, and model observability.Agile Delivery: Work within an Agile framework to ensure research translates into predictable production value, meeting project milestones and deadlines.Business Advisory: Partner with technical and business stakeholders to translate business challenges into technical requirements and clear project updates.Who you areYou are passionate about AI and driven to deliver real-world impact through data. You thrive in R&D-heavy environments involving sparse or high-dimensional data, excelling at the intersection of experimental AI research and disciplined software engineering. You are a clear communicator who can explain technical trade-offs to both engineering peers and business stakeholders.Advanced AI/ML Engineering & Software CraftsmanshipProduction-Level Programming: Senior proficiency in Python, with a strong commitment to software engineering best practices (Design Patterns, Unit Testing, and Modular Code).System Design: Solid understanding of modern AI/ML architectures and data platforms to build robust, performant systems.Modeling Depth: Deep knowledge of AI/ML algorithms and the mathematical foundations required to tune models for high-precision R&D use cases.Data Engineering: Proficiency in handling data structures and pipelines to ensure model inputs are reliable and optimized.Advanced MLOps & Cloud InfrastructureAzure: Hands-on experience with the Azure ML SDK/CLI or Azure Databricks, including managed online endpoints, compute clusters, and data assets.CI/CD: Experience building and maintaining deployment pipelines using Azure DevOps or automation in Gitlab.Containerization: Proficiency in Docker for packaging and scaling AI/ML workloads within cloud-native environments.Observability & Reliability: Ability to implement monitoring for system health (latency/CPU) and model performance (drift, accuracy, and data quality).Professional CollaborationAgile Methodology: Experience working within an Agile/Scrum framework to deliver consistent project velocity.Technical Translation: Ability to communicate complex trade-offs clearly to non-technical stakeholders.Project Delivery: Proven track record of taking ML models from a research phase to a stable production environment.Contextual PlusAcademic Background: Master's degree or higher in Computer Science, AI, Data Science, or a related field.Domain Expertise (Preferred): Exposure to formulation, chemistry or the Fragrance & Flavour industry.Languages: Full professional proficiency in English; French is strongly preferred.What we offerA competitive compensation packageA yearly education budget to steep your learning curveA yearly sport budget because a fit body leads to a fit mindA flexible working culture because your work-life balance matters to usA position that enables you to have an impact on 1'000s of people, and the whole company's growth.An international, knowledgeable, and passionate team with a strong collaborative mindsetCheck ourLinkedInandwebsiteto learn more about us & don't hesitate to contact us if you have any questions. ## Related Videos - [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) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) ## Related Articles - [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) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)