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Intellishore

Senior Consultant - AI/ML

Applied Machine LearningUpdated on Nov 12
Full-timeZürich, SwitzerlandNo salary listed

About the Job

Requirements

  • Have 3+ years of experience in data science, machine learning, or AI solution delivery; consulting experience is preferred.
  • Have an educational background in Computer Science, Data Science, AI/ML, or a related field.
  • Be proficient in Python and associated frameworks such as TensorFlow, PyTorch, scikit-learn, and Pandas, with a solid grasp of statistics.
  • Have hands-on experience building and deploying AI solutions at scale on Azure, AWS, or Databricks.
  • Have experience with AI/ML in Snowflake and Databricks, such as building, training, and deploying models where client data resides.
  • Understand CI/CD, automation, monitoring, and retraining strategies, and have put them into practice.
  • Be familiar with LLMs, vector databases, and RAG techniques.
  • Bring communication, stakeholder management, and strategic understanding skills, and be able to explain technical trade-offs to business and technical audiences.
  • Be curious and quick to learn new tools.
  • Be fluent in English.
  • Be able to work on-site in Zürich.

Responsibilities

  • Design and implement machine learning, GenAI, and automation solutions using Python and modern ML frameworks, including LLM-based solutions using retrieval, vector databases, and RAG.
  • Deploy solutions to production in cloud environments such as Azure, AWS, or GCP, focusing on scalability and reliability, and ensure they are production-ready, secure, and compliant with regulated-industry standards.
  • Build and maintain end-to-end MLOps pipelines, including CI/CD automation, model versioning, performance monitoring, data and model drift detection, and automated retraining.
  • Implement monitoring and alerting to keep production ML systems healthy over time.
  • Establish best practices for delivering scalable AI solutions across the lifecycle, from experimentation to production, and drive adoption of emerging technologies that improve model accuracy, speed, and business applicability.
  • Help shape the market position, commercial growth, and strategic journey of the Zürich office, and cultivate innovation and continuous learning within the AI team.
  • Deliver client projects across the healthcare and life sciences value chain, including improving HCP engagement and experience and optimizing performance through advanced ML models.
  • Stay current with industry trends in AI/ML, cloud platforms, and automation frameworks, and apply relevant developments to client work.

Desired Qualifications

  • Consulting experience in data science, machine learning, or AI solution delivery.
  • Experience in pharmaceutical or healthcare industries, including clinical, medical, commercial, or supply-chain use cases.
  • German or French language skills.

About the Company

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