Career Category
Engineering
Job Description
Senior Machine Learning Engineer
In this role, you will contribute to the development of scalable machine learning platforms and workflows that enable scientists and researchers across Amgen to build, deploy, and manage AI/ML models. You will work closely with experienced engineers, data scientists, and domain experts to productionize machine learning solutions primarily in support of drug discovery and development.
This is an ideal role for engineers early in their ML engineering careers who want to grow their expertise in MLOps, cloud platforms, and applied AI in life sciences.
Roles & Responsibilities:
• Deliver AI and ML-enabled applications, with deployed models ranging from classical ML models to natural language processing, protein language models, and large language models.
• Contribute to the development and maintenance of ML platform capabilities, including:• Data pipelines and feature engineering workflows
• Model training, evaluation, and deployment pipelines
• Experiment tracking and model registry systems
• Model performance evaluations and monitoring
• Partner in implementation of AI and ML Ops best practices, including CI/CD, infra as code, monitoring, traceability and reproducibility
• Collaborate with cross-functional teams to transition standards and outcomes from experimentation to production-grade enterprise solutions
• Build and maintain scalable and productive, productionized MLOps solutions on cloud platforms
• Develop and deliver training content and knowledge articles to educate resident scientists on model lifecycle management best practices
Required Skills:
• Software programming (python, version control, test driven development)
• Familiarity with cloud technologies (AWS preferred, Databricks)
• Hands-on experience with AI/ML model training and serving
Preferred qualifications:
• Experience with deployment and maintenance of AI/ML models in production
• Substantial experience with cloud techn