AI Engineer – pharmaceutical industry (f/m/x)

Minimum 5 years of experience designing and maintaining production MLOps/LLMOps pipelines with CI/CD for models, Hands-on expertise with AWS SageMaker, Kubeflow, or MLflow, including model monitoring, retraining, and drift detection, Proficiency in production-level Python, including writing clean, testable, and well-documented code, APIs, and services, Strong skills in containerizing models with Docker and orchestrating with Kubernetes, ensuring scalability and high availability, Proven experience deploying LLM and Transformer models using HuggingFace and LangChain; experience with Portkey or Galileo is a plus, Practical use of AWS services such as Lambda, EC2, and SageMaker, with collaboration across infrastructure and data engineering teams, Solid understanding of distributed architecture, data streaming, and handling high-volume data in production environments, Fluency in English, Residing in Poland required, Fluent Polish required, Pharma-related experience