Machine Learning Engineer
Core
Build and scale machine learning models and LLM applications for regulatory submission content automation.
Role type
Machine Learning Engineer (LLM & MLOps)
Builds
Automated regulatory content creation, review, and approval pipelines using Generative AI.
Domain
Biotechnology / Regulatory Affairs / Generative AI
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Scikit-learn, LangChain, MLOps, LLM integration, Cloud platforms (AWS/GCP/Azure), Model monitoring, A/B testing
Preferred skills
Custom LLM solutions, Docker, Kubernetes, CI/CD, Data engineering
Technologies
OpenAI GPT 4, Claude, Gemini, AWS, Azure, Google Cloud, Docker, Kubernetes
Responsibilities
Develop and deploy LLM applications; Build and maintain MLOps pipelines; Implement DevOps/LLMOps best practices; Develop monitoring systems; Conduct A/B testing; Collaborate with cross-functional teams. (via careerplan.io/jobs/R-234229-machine-learning-engineer-at-amgen)
Seniority
Mid-level (1-5 years experience)
