Senior Data & AI Engineer - Generative AI

Octapharma AG

Rejoignez Octapharma en tant qu'ingénieur senior en Data & AI. Une opportunité de contribuer à des solutions de santé innovantes.TâchesDévelopper des applications d'IA générative pour optimiser les processus.Mettre en place des solutions de surveillance pour garantir la qualité.Collaborer avec les équipes pour intégrer des solutions d'IA avancées.CompétencesDiplôme en informatique ou domaine connexe, 5 ans d'expérience.Expertise en technologies cloud et IA.Compétences en Python et orchestration des tâches.Senior Data & AI Engineer - Generative AIJob ID: 61566Location:Lachen, CHJob Level: ProfessionalsJob Category: ITEmployment Type: Permanent positionCareer Level:Become part of a vital chain and contribute to our common goal of making people’s lives better. Headquartered in Lachen, Switzerland, Octapharma is one of the largest human protein manufacturers in the world, developing and producing medicines sourced from human plasma and human cell lines. We are a privately-owned company, where the warmth of family meets the scale of a global organisation.Join us in shaping our vision to provide new health solutions advancing human life.Your main tasks and responsibilitiesAgentic AI (incl. RAG, Retrieval Augmented Generation) applications implementation:Design, implement and maintain Agentic AI applications to support various areas of Octapharma’s core business (such as Manufacturing Science and Technologies, Research & Development, Sales)Model and solution monitoring:Design, implement and maintain monitoring solutions for our Agentic AI applications to ensure the highest possible quality of output for usersKnowledge graphs:Implement and maintain relevant knowledge graphs that capture critical information about Octapharma’s knowledge and processes to support Agentic AI solutions.Machine Learning Operations (MLOps):design, implement, automate and maintain scalable machine learning pipelines using MLflow on Databricks. This work is done in collaboration with business partners.Data transformations:Design, implement and maintain data and orchestration pipelines to power generative AI solutions.Collaboration and Training:Work with the rest of IT and data science teams to integrate state-of-the-art generative AI solutions into business processes and workflows. Provide training and support to end-users if necessary.Regulatory compliance:Ensure all AI solutions comply with regulatory standards in the pharmaceutical industry, utilizing Azure security and compliance features.Coach and support teamsin the various business functions to help them onboard onto relevant AI solutions (including but not limited to agentic platforms built on Databricks) and fully leverage the potential of these technologies.Your expertise and ideal skill setEducational Background:At least a bachelor’s degree in computer science, Engineering, Data Science, or related field.Good communication and interpersonal skillswith the ability to work in an international, distributed team and successfully interact with stakeholders.Fluent inEnglish. German is a plus.Data & AI Engineering Experience:Minimum of 5 years of experience in data and/or AI engineering, with a strong focus on cloud native technologies.Agentic AI:Demonstrated experience in deploying and maintaining Agentic and/or RAG-based applications using Databricks or another equivalent cloud-based technology.Monitoring: Demonstrated experience in building successful monitoring capabilities for AI solutions in productions (either ML, RAG or Agentic)Machine Learning:Demonstrated experience in building Machine Learning models and promoting ML pipelines across different environments, including production.Proficiency inPythonwith a strong focus on task orchestration, machine learning and genAI libraries, and demonstrated experience of collaborative work on code development and version control systems (e.g. GitHub, GitLab, or equivalent)Experience withcloudplatforms is required. Azure knowledge is a plus.Any Azure or Databricks certification is a plus.Knowledge of MLflow is a plus.Experience working in regulated industries such as pharma or healthcare is a plus.Your department - where you make an impactThe Data and AI team plays a crucial role within the Global IT Team, focusing on data engineering, advanced analytics, and AI. This team ensures that data is securely stored, efficiently processed, and readily available to support business operations and decision-making. It is also responsible for the development and deployment of company-wide generative AI capabilities and solutions. By leveraging cloud-native technologies and best practices, the Data and AI team enhances the overall IT capabilities of Octapharma, driving innovation and maintaining robust security measures.“In this role, you will join a team where curiosity, collaboration, and engineering excellence matter. We work closely with the business, learn continuously, and support each other to make Generative AI us...