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.

You will apply deep engineering rigor to build scalable, reliable systems that solve real-world R&D; challenges.

you ensure they are integrated into robust software architectures that meet the highest standards of performance and reliability.Deliver high-quality code for data, modelling, and deployment pipelines, leading the team through engineering rigor.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.

dimensional data, excelling at the intersection of experimental AI research and disciplined software engineering.

offs to both engineering peers and business stakeholders.Advanced AI/ML Engineering & Software CraftsmanshipProduction?Senior proficiency in Python, with a strong commitment to software engineering best practices (Design Patterns, Unit Testing, and Modular Code).





Solid understanding of modern AI/ML architectures and data platforms to build robust, performant systems.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?Ability to implement monitoring for system health (latency/CPU) and model performance (drift, accuracy, and data quality).

Experience working within an Agile/Scrum framework to deliver consistent project velocity.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.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 versátil working culture because your work?

📌 Senior Machine Learning Engineering (España)
🏢 Visium
📍 España