Staff Machine Learning Engineer

About Us At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large-scale transformations and implement AI across operations, ensuring their organization becomes future-proof. We have expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, empowering our clients to unleash and scale the power of their data. We are on a mission to pioneer a bright future and build future-proof and ethical organizations. Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of - our Visiumees. Ready to become one? 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. Responsibilities - 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 - 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