Amgen Inc. is looking for a Machine Learning Engineer to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production, leveraging your expertise in MLOps and cloud platforms.
What You'll Do
- Collaborate with data scientists to develop, train, and evaluate machine learning models.
- Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
- Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
- Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
- Develop and implement monitoring systems to track model performance and identify issues.
- Conduct A/B testing and experimentation to optimize model performance.
- Work closely with data scientists, engineers, and product teams to deliver ML solutions.
- Stay updated with the latest trends and advancements.
What We're Looking For
- A solid foundation in machine learning algorithms and techniques.
- Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow).
- Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD).
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Outstanding analytical and problem-solving skills.
- Ability to learn quickly.
- Good communication and interpersonal skills.
- Any degree with 5-9 years of experience in Computer Science, IT, or a related field.
Nice to Have
- Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing.
- Experience with data engineering and pipeline development.
- Experience in statistical techniques and hypothesis testing, including regression analysis, clustering, and classification.
- Knowledge of NLP techniques for text analysis and sentiment analysis.
- Experience in analyzing time-series data for forecasting and trend analysis.
Technical Stack
- Languages & Libraries: Python, TensorFlow, PyTorch, Scikit-learn
- MLOps Tools: MLflow, Kubeflow, Airflow
- DevOps Tools: Docker, Kubernetes
- Cloud Platforms: AWS, GCP, Azure
- Big Data: Spark, Hadoop
Team & Environment
Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients.
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
