- 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 efficient, productionized MLOps solutions on cloud platforms
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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 technologies and platforms, such as Databricks, AWS (preferred), or Azure
Experience with AI and MLOps frameworks and tools (mlflow, kubeflow, weights & biases, terraform, etc.)
Experience with containerization (docker, Kubernetes),
Familiarity with distributed data processing (e.g., spark)
Familiarity with data science libraries (scikit-learn, tensorflow, pytorch, langchain)
Soft Skills
Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
Demonstrated presentation skills
Self-motivated, independent ownership and leadership skills
What you can expect from us
As Amgen works to develop medicines that take care of patients, we also invest in our team members growth and development. You will gain:
Hands-on experience and support building enterprise-scale ML platforms
Experience building cutting-edge applications of AI in drug discovery
Opportunities to learn from experienced engineers and scientists
Opportunities to partner cross-functionally and participate in projects beyond your core contributions and responsibilities
Access to cutting-edge AI-assisted development tools and resources both for learning / upskilling and solution development
A collaborative, science-driven environment focused on real-world impact.
Basic Qualifications and Experience
Bachelor’s degree with 4 - 8 years of experience in Computer Science, IT or related field
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