Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate
- unlocking the value of AI at scale. We're not a strategy firm that ships slide decks and walks away. Not a tech consultancy that builds what won't get adopted. Not a product company chasing problems it doesn't understand. We're all three at once: strategy, deep technical and integration expertise, and product, working as one. That combination is our flywheel. Consulting keeps us close to the hardest real-world problems. Products let us solve them at scale. Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain. We're obsessed with outcomes. While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains. We are AI-native, not AI-adjacent. We don't bolt AI onto broken workflows; we redesign them with AI at the core. Role As a Staff Machine Learning Engineer, you will own the most technically complex and high-impact projects from conceptualization over architecture design to production deployment. You will:
* Set direction for a technical team, ensuring architectural excellence and long-term solution maintainability
* Lead and mentor junior and senior engineers, raising the technical bar across projects
* Stay hands-on with high quality code contributions to data processing, modeling and deployment pipelines while delegating effectively
* Partner with clients to translate complex business challenges into clear technical roadmaps and deliver measurable business outcomes
* Drive adoption of modern ML best practices and state-of-the-art methodology from system design and architecture over modelling to MLOps You are not only passionate about machine learning, but also about shaping how data-driven insights create value for our clients. You thrive in dynamic environments,



balancing hands-on technical work with strategic decision-making and team leadership. This role goes beyond building models: you will be responsible for technical strategy, quality standards and growing engineering talent, shaping the future of our ML delivery practice. Requirements
* 6
- 8 years of experience in machine learning, data science, or related fields
* Proficiency in Python programming
* Expertise in ML/DL libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras, PyTorch)
* Experience with data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Tableau, D3.js)
* Deep learning experience (e.g., RNNs, CNNs) and strong knowledge of clustering, regression, and classification methods
* Experience in designing, developing, and deploying LLM-based applications, including RAG systems, with a strong understanding of prompt engineering, vector databases, and knowledge retrieval pipelines
* Familiarity with Unix/Linux environments, REST APIs, and microservices
* Experience with ML deployment, production pipelines, and scalable architectures on platforms such as AzureML, AWS and GCP.
* Experience with Data and AI platforms (Databricks, Dataiku, Snowflake). Certifications are a plus.
* Demonstrated technical and project leadership, with the ability to guide complex initiatives and deliver results
* Strong mentorship skills and experience managing or coaching teams to reach their full potential
* Excellent collaboration and communication skills, capable of bridging technical and business perspectives
* Fluent in English, French is a plus. Benefits

What we offer
* A yearly education budget to steep your learning curve
* A yearly sport budget because a fit body leads to a fit mind
* A position that enables you to have an impact on 1'000s of people
* An international, knowledgeable, and passionate team with a strong collaborative mindset
* Opportunity to join a talented and experienced company with proven traction in its journey
* An open and transparent culture Check our LinkedIn and Instagram to learn more

about us
& don't hesitate to contact us if you have any questions. #J-18808-Ljbffr

📌 Staff AI Engineer (España)
🏢 Visium
📍 España