Staff AI Engineer

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.

Requirements

To succeed in this role, you bring a combination of expertise, experience, and skills including:

• 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.

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.