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Type: Full-time
Location: Lausanne or Zürich
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
As a Lead 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
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
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 and German and/or French. Other languages are a plus.
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
Key Skills
Ranked by relevanceReady to apply?
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