Intellishore Industry · Engineering

Senior Consultant, AI/ML

CHF 130'000 – 150'000 / year

Description

We are looking for ambitious and passionate AI/ML Senior Consultants to join our fast-growing Zürich office and help develop AI-driven solutions. You will work on building machine learning models, generative AI applications, and automation tools to address key challenges in direct tandem with our healthcare & life sciences clients.

Being an AI/ML Consultant at Intellishore, you will get to shape and implement technology as well as business solutions to deliver value at our new Intellishore office in Zürich. You will have the opportunity to immerse yourself in some of the most exciting technologies while gaining an in-depth understanding of specific business challenges through close collaboration with your dedicated Intellishore project team and clients.

By joining Intellishore in Zürich, you will have a unique opportunity to influence and shape the development and commercial growth of Intellishore CH within a highly entrepreneurial and flexible setup, while benefiting from the backing of a family of over 80 Intellishorians in Denmark.

Responsibilities

Intellishore is a cross-functional consultancy where you will represent the data science competencies. Here you will be responsible for (among other things):

Project Delivery & Strategy

  • Drive projects with a small cross-functional team (data scientists, ML engineers, and strategy consultants)
  • Partner with stakeholders to identify business opportunities where advanced analytics and AI can deliver measurable impact.
  • Define best practices for delivering scalable AI solutions across the entire lifecycle, from experimentation to production.

Solution Development & Deployment

  • Design and implement machine learning and AI models using Python and modern ML libraries.
  • Oversee deployment of solutions in cloud environments (Azure, AWS, GCP, or Databricks) with a focus on scalability and reliability.
  • Ensure solutions are production-ready, secure, and compliant with industry standard s.

MLOps & Lifecycle Management

  • Build and maintain end-to-end MLOps pipelines including CI/CD automation, model versioning, performance monitoring, and retraining workflows.
  • Implement data and model drift detection strategies, along with automated retraining triggers.
  • Establish best practices for monitoring, alerting, and continuous improvement of production ML systems.

Innovation & Upskilling

  • Stay ahead of industry trends in AI/ML, cloud platforms, and automation frameworks.
  • Drive adoption of emerging technologies to enhance model accuracy, speed, and business applicability.
  • Cultivate a culture of innovation and continuous learning within the AI team.

Qualifications

Ideally, you match all or most of the following attributes:

  • Educational background within Computer Science, Data Science, AI/ML, or related field
  • Solid grasp of statistics foundations.
  • 3+ years of experience in data science, machine learning, or AI solution delivery - preferably from consulting.
  • Proficiency in Python and associated data science/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas).
  • Hands-on experience with cloud platforms (Azure, AWS, GCP, Databricks) for building and deploying AI solutions.
  • Experience in implementing ML solutions at scale in the cloud, covering the full lifecycle: data ingestion, model development, training, deployment, monitoring, retraining, and governance.
  • Knowledge of MLOps practices, including CI/CD, automation, monitoring, and retraining strategies.
  • Excellent communication, stakeholder management, and strategic understanding.
  • Familiarity with LLMs, vector databases, and RAG techniques.
  • Fluency in English, German, or French in addition would be a plus.
  • Availability for on-site presence in Zürich.

Preferred Qualifications

Experience working in or with the pharmaceutical/healthcare industry (clinical, medical, commercial, or supply chain use cases).

Benefits

1 | Challenging projects

Exciting and challenging project roles in strategic & technical AI projects

2 | Entrepreneurial work environment

A highly entrepreneurial work environment with ambitious and innovative colleagues focused on rapidly growing the Intellishore CH business

3 | Influence

Unique opportunity for influencing and directing Intellishore CH's market position, commercial growth, and strategic journey

4 | Strategic seminars

A yearly strategic seminar where all Intellishorians across locations spend time strategizing and team-building (in previous years, we've been to South Africa, Japan, India, China, Dubai, Iceland, Germany, and Italy)

5 | Sustainable consulting

A consulting career with high levels of flexibility, allowing for work-life balance

6 | Exciting growth journey

We are on a mission to redefine the world of AI consulting, and we are constantly expanding our reach