Generative AI / Machine Learning Engineer (with PhD and agentic experience) – 3 days per week & immediately available – Healthcare Industry experience (Ref. Nr. 2745) - 12 months temporary contract

AurigaVision AG; Zug; On-site; CHF 120,000 - 190,000; Part time

Job summary

AurigaVision AG in Switzerland seeks a Generative AI / Machine Learning Engineer (PhD) to lead AI initiatives across functions. You will architect enterprise LLM solutions, including RAG pipelines, prompt engineering, and model selection, while guiding data science and AI engineering teams.

Candidates should have healthcare exposure, strong Python and DL skills, dashboard building with Dash/Streamlit/Shiny, and cloud experience with Databricks/Dataiku.

Qualifications

• PhD in Engineering, Data Science, Computer Science, Mathematics, Physics or related field.
• 3–5 years programming experience in Python, SQL, R, MATLAB and DL frameworks (PyTorch, Keras).
• Extensive ML experience, healthcare industry preferred, LLM fine-tuning/training (ChatGPT, BERT, LLaMA, Dolly).
• Strong dashboard/web app skills with Dash/Streamlit/Shiny.
• Experience with cloud platforms and AI/ML platforms (Databricks, Dataiku).
• ≥2 years designing modular multi-agent systems and enterprise-grade LLM architectures.
• Excellent analytical, communication, and documentation skills; fluent in English.

Responsibilities

• Develop and steer generative AI roadmap aligning with business priorities.
• Architect enterprise-ready LLM solutions, including prompt engineering and prototypes.
• Lead AI engineering, data science, and development teams for high-quality delivery.
• Build and optimize LLM-based systems (RAG, fine-tuned models, multi-agent architectures).
• Shape ML ecosystem: feature stores, model repos, and MLOps workflows.
• Collaborate with stakeholders to iteratively deliver AI solutions and educate teams.

Skills

Python

SQL

R

MATLAB

PyTorch

Keras

LLM fine-tuning

Dashboard development

Education

PhD in Engineering/Data Science/CS/Math/Physics

Tools

Dash

Streamlit

Shiny

Databricks

Dataiku

Job description

Our client is a well-established pharmaceutical company in the city of Zug, operating as part of global group. To support their commercial department, we are currently looking for a

Generative AI / Machine Learning Engineer (with PhD and agentic experience) - 3 days per week & immediately available - Healthcare Industry experience (Ref. Nr. 2745)

12 months temporary contract

In this highly strategic and technically demanding role, you will lead the development, implementation, and optimization of Generative AI solutions across multiple business functions. You will work closely with senior leadership, cross-functional experts, and technical teams to design AI architectures, build advanced LLM-based products, and drive enterprise-level innovation. This position combines deep technical expertise with leadership responsibility in an evolving and fast-paced environment.

• Develop and steer the Generative AI roadmap in alignment with organizational priorities and business needs.
• Architect and design enterprise-ready LLM solutions, including prompt engineering, blueprint creation, and use-case prototyping.
• Lead AI engineering, data science, and development teams, ensuring high-quality execution and continuous apability development.
• Build and optimize LLM-based systems such as RAG pipelines, fine-tuned models, and multi-agent architectures.
• Shape and influence the machine learning ecosystem, including feature stores, model repositories, and automated MLOps workflows.
• Collaborate with business stakeholders and technical experts to deliver solutions iteratively and educate teams on applied Generative AI.
• Drive continuous innovation by monitoring emerging research, experimenting with new methodologies, and communicating insights clearly.

Your profile

• Ph.D. in Engineering, Data Science, Computer Science, Mathematics, Physics, or a related quantitative field.
• 3-5 years of programming experience in Python, SQL, R, MATLAB, and modern deep-learning frameworks (PyTorch, Keras).
• Extensive hands-on experience with machine learning (ideally in the healthcare industry), LLM fine-tuning, and training (e.g., ChatGPT, BERT, LLaMA, Dolly).
• Strong background in building dashboards and web apps using tools such as Dash, Streamlit, or Shiny.
• Proven experience working with cloud technologies and AI/ML platforms such as Databricks or Dataiku.
• At least 2 years of experience designing modular multi-agent systems, secure agent-to-agent frameworks and enterprise-grade LLM architectures.
• Excellent analytical, communication, and documentation skills with fluency in English.

Full discretion is guaranteed and we will gladly answer any additional questions.