Senior Associate, Agents/Chatbots IC
Core
Build and scale machine learning models from development to production, creating efficient and reliable ML pipelines for Amgen's AI & Data Science team.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
Production ML models and automated ML workflows
Domain
Biotechnology / Machine Learning Operations
Deliverable
production ML models
Required skills
Machine learning algorithms, MLOps practices, Python, TensorFlow/PyTorch/Scikit-learn, Cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, CI/CD
Preferred skills
Big data technologies (Spark/Hadoop), Data engineering, Statistical techniques, NLP, Time-series analysis
Technologies
MLflow, Kubeflow, Airflow, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, Azure, Docker, Kubernetes
Responsibilities
Develop, train, and evaluate machine learning models; Build and maintain MLOps pipelines; Implement DevOps/MLOps best practices; Develop monitoring systems for model performance; Conduct A/B testing and experimentation
Seniority
Senior, hands-on IC
