Summary: Lead Software Engineer with a Machine Learning focus to design, develop, and maintain scalable, reliable software systems supporting ML use cases, ensuring software development excellence. Highlights: 1. Pioneer a bright future and build future-proof and ethical organizations 2. Design and develop scalable, reliable software systems supporting ML use cases 3. Collaborate with ML engineers and data scientists to integrate models Title: Lead Software Engineer Type: Full\-time Location: All Visium locations Start date: March 2026 **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. With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data. We’re 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** We are looking for a **Lead Software Engineer (Machine Learning focus)** with strong experience in building **production\-grade systems** and a solid exposure to **MLOps and ML systems**. The primary focus of this role is **software development excellence**: designing clean architectures, writing high\-quality code, and operating reliable systems at scale. You'll also collaborate with business stakeholders to deliver scalable, maintainable, and high\-impact ML solutions on Google Cloud Platform. * Design, develop, and maintain scalable, reliable software systems supporting ML use cases * Own production services end\-to\-end (design, implementation, testing, deployment, monitoring) * Apply and promote software engineering best practices (clean code, architecture patterns, testing, CI/CD) * Build and maintain APIs, services, and data pipelines used by ML systems * Implement MLOps workflows with a strong engineering mindset (automation, reproducibility, monitoring) * Design and operate cloud\-native systems on Google Cloud Platform * Collaborate closely with ML engineers and data scientists to integrate models into production systems * Communicate clearly with stakeholders and contribute to technical decision\-making **Requirements** To apply, this should be part of your background: * 6\+ years of experience in software engineering * Very strong programming skills and proven experience building production systems * Solid background in software architecture, system design, and distributed systems * Experience applying engineering best practices in real\-world environments * Hands\-on experience with cloud platforms, with deep expertise in Google Cloud Platform (GCP) * Experience with CI/CD, infrastructure as code, and production monitoring * Strong communication and stakeholder management skills * Ability to work on\-site in Winterthur once per week or if based outside of CH, availability to travel. **Benefits** 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 flexible 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.
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
