ppAs 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 RD 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. /p h3Responsibilities /h3 ul liTechnical Implementation: Contribute to the design and development of scalable, maintainable AI solutions aligned with modern best practices. /li liHands‑On Development: Deliver high-quality code for data, modelling, and deployment pipelines, leading the team through engineering rigor. /li liMLOps Mastery: Implement and maintain robust MLOps workflows, focusing on automated CI/CD, containerization, and model observability. /li liAgile Delivery: Work within an Agile framework to ensure research translates into predictable production value, meeting project milestones and deadlines. /li liBusiness Advisory: Partner with technical and business stakeholders to translate business challenges into technical requirements and clear project updates. /li /ul h3Who you are /h3 pYou are passionate about AI and driven to deliver real-world impact through data. You thrive in RD‑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. /p h3Advanced AI/ML Engineering Software Craftsmanship /h3 ul liProduction‑Level Programming: Senior proficiency in Python, with a strong commitment to software engineering best practices (Design Patterns, Unit Testing, and Modular Code). /li liSystem Design: Solid understanding of modern AI/ML architectures and data platforms to build robust, performant systems. /li liModeling Depth: Deep knowledge of AI/ML algorithms and the mathematical foundations required to tune models for high‑precision RD use cases. /li liData Engineering: Proficiency in handling data structures and pipelines to ensure model inputs are reliable and optimized. /li /ul h3Advanced MLOps Cloud Infrastructure /h3 ul liAzure: Hands‑on experience with the Azure ML SDK/CLI or Azure Databricks, including managed online endpoints, compute clusters, and data assets. /li liCI/CD: Experience building and maintaining deployment pipelines using Azure DevOps or automation in GitLab. /li liContainerization: Proficiency in Docker for packaging and scaling AI/ML workloads within cloud‑native environments.



/li liObservability Reliability: Ability to implement monitoring for system health (latency/CPU) and model performance (drift, accuracy, and data quality). /li /ul h3Professional Collaboration /h3 ul liAgile Methodology: Experience working within an Agile/Scrum framework to deliver consistent project velocity. /li liTechnical Translation: Ability to communicate complex trade‑offs clearly to non‑technical stakeholders. /li liProject Delivery: Proven track record of taking ML models from a research phase to a stable production environment. /li /ul h3Contextual Plus /h3 ul liAcademic Background: Master’s degree or higher in Computer Science, AI, Data Science, or a related field. /li liDomain Expertise (Preferred): Exposure to formulation, chemistry or the Fragrance Flavour industry. /li liLanguages: Full professional proficiency in English; French is strongly preferred. /li /ul h3What we offer /h3 ul liA competitive compensation package /li liA yearly education budget to steep your learning curve /li liA yearly sport budget because a fit body leads to a fit mind /li liA versátil working culture because your work‑life balance matters to us /li liA position that enables you to have an impact on 1,000s of people, and the whole company's growth. /li liAn international, knowledgeable, and passionate team with a strong collaborative mindset /li /ul pCheck our LinkedIn and website to learn more about us don’t hesitate to contact us if you have any questions. /p /p #J-18808-Ljbffr

📌 Senior AI Machine Learning Engineer (Barcelona)
🏢 Visium
📍 Barcelona