AI Machine Learning Engineer
- Compensation
- Not disclosed
- Location
- Barcelona, Catalonia, Spain
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- 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.
Full description
- Title: AI Machine Learning Engineer
- Location: Barcelona
About us
At Visium, we partner with leading enterprises to define their AI & Data strategy, execute large-scale transformations, and integrate AI across operations, securing their organization's future. Leveraging our expertise in strategy, cloud platform engineering, and artificial intelligence, we empower our clients to unlock and scale the power of their data. We are currently spearheading a major transformation for a client in the Flavor and Fragrance sector and are seeking exceptional talent to contribute to this impactful work. This is a unique opportunity to join our client's team (as a direct employee of the client). You will shape the future of the organization, collaborating with senior leaders and cutting-edge technologies to deliver AI-driven innovation and tangible business impact.
Role
As a 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.
RequirementsAdvanced 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).