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Visium

Staff AI Engineer

Visium

Staff Machine Learning Engineer leading complex ML projects at Visium. Shaping technical strategy and mentoring engineers while driving modern ML practices.

Posted 5/9/2026full-timeLausanne • 🇨🇭 SwitzerlandLeadWebsite

Tech Stack

Tools & technologies
AWSD3.jsGoogle Cloud PlatformJavaScriptKerasLinuxMicroservicesPythonPyTorchScikit-LearnTableauTensorflowUnix

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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.

ATS Keywords

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Hard Skills & Tools
machine learningdata sciencePythonScikit-learnTensorFlowKerasPyTorchdata visualizationdeep learningLLM-based applications
Soft Skills
technical leadershipmentorshipcollaborationcommunicationstrategic decision-makingproject leadershipteam managementguiding initiativescoachingbridging technical and business perspectives