AI Content Technology Specialist

• Develop, implement, and improve AI models for content creation (websites, emails, banners).
• Manage the technical production of digital assets and coordinate with external vendors.
• Integrate systems used for content planning, review (MLR), asset management, and omnichannel distribution.
• Handle content production requests from EU and APAC regions.
• Act as a point of contact for issue resolution and stakeholder communication across markets.

Requirements

• AI & Machine Learning Expertise:
  
  • Experience with large language models (LLMs), LangChain, LlamaIndex, and agent-based AI frameworks.
  • Knowledge of prompt engineering and the full AI model lifecycle (training, deployment, monitoring, retraining).
  • Familiarity with multimodal AI models for text, image, and video content.
• Cloud & DevOps Skills:
  
  • Hands-on experience with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Rekognition).
  • Experience with Azure AI tools and hybrid cloud environments.
  • Proficiency in MLOps practices, containerization (Docker/Kubernetes), and CI/CD pipelines.
  • Strong programming skills in Python, JavaScript/TypeScript, and SQL.
• Pharma & Content Domain Knowledge:
  • Understanding of content production processes and pharmaceutical compliance standards.
  • Experience with omnichannel content strategies and tools used in pharma marketing and medical affairs.
  • Knowledge of content tagging, MLR workflows, metadata management, and personalization engines.