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Senior Data & AI Engineer - Generative AI(m/w/x)
Developing Agentic AI applications and knowledge graphs for human protein manufacturing. 5 years data/AI engineering with Databricks/Agentic/RAG application experience required. Work with advanced biopharma infrastructure.
Requirements
- Bachelor’s degree in computer science, engineering, data science, or related field
- Minimum of 5 years of experience in data and/or AI engineering
- Experience in deploying and maintaining Agentic and/or RAG-based applications using Databricks or equivalent
- Experience in building successful monitoring capabilities for AI solutions in production
- Experience in building machine learning models and promoting ML pipelines
- Proficiency in Python with a focus on task orchestration and machine learning libraries
- Experience with cloud platforms
- Azure or Databricks certification
- Knowledge of MLflow
- Experience working in regulated industries such as pharma or healthcare
Tasks
- Design, implement, and maintain Agentic AI applications
- Monitor models and solutions for quality assurance
- Implement and maintain knowledge graphs for critical information
- Design, automate, and maintain scalable machine learning pipelines
- Create and manage data and orchestration pipelines for generative AI
- Collaborate with IT and data science teams on AI integration
- Provide training and support to end-users as needed
- Ensure AI solutions comply with pharmaceutical regulatory standards
- Coach teams on onboarding and leveraging AI technologies
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Databricks
- Azure
- MLflow
Benefits
Competitive Pay
- Market-related salary
Family Support
- Family values
Learning & Development
- Skills development
- Internal and external trainings
- Trainee programs
Modern Equipment
- Digital solutions
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Senior Data & AI Engineer - Generative AI(m/w/x)
Developing Agentic AI applications and knowledge graphs for human protein manufacturing. 5 years data/AI engineering with Databricks/Agentic/RAG application experience required. Work with advanced biopharma infrastructure.
Requirements
- Bachelor’s degree in computer science, engineering, data science, or related field
- Minimum of 5 years of experience in data and/or AI engineering
- Experience in deploying and maintaining Agentic and/or RAG-based applications using Databricks or equivalent
- Experience in building successful monitoring capabilities for AI solutions in production
- Experience in building machine learning models and promoting ML pipelines
- Proficiency in Python with a focus on task orchestration and machine learning libraries
- Experience with cloud platforms
- Azure or Databricks certification
- Knowledge of MLflow
- Experience working in regulated industries such as pharma or healthcare
Tasks
- Design, implement, and maintain Agentic AI applications
- Monitor models and solutions for quality assurance
- Implement and maintain knowledge graphs for critical information
- Design, automate, and maintain scalable machine learning pipelines
- Create and manage data and orchestration pipelines for generative AI
- Collaborate with IT and data science teams on AI integration
- Provide training and support to end-users as needed
- Ensure AI solutions comply with pharmaceutical regulatory standards
- Coach teams on onboarding and leveraging AI technologies
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Databricks
- Azure
- MLflow
Benefits
Competitive Pay
- Market-related salary
Family Support
- Family values
Learning & Development
- Skills development
- Internal and external trainings
- Trainee programs
Modern Equipment
- Digital solutions
About the Company
Octapharma
Industry
Healthcare
Description
Das Unternehmen ist eines der weltweit größten, das humane Proteine aus menschlichem Plasma und humanen Zelllinien entwickelt und herstellt.
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