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.

Responsibilities

Technical 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 are 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.

What we offer A competitive compensation package A yearly education budget to steep your learning curve A yearly sport budget because a fit body leads to a fit mind A versátil working culture because your work‑life balance matters to us A 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 mindset

Check our LinkedIn and website to learn more about us & don’t hesitate to contact us if you have any questions.

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