Amgen is looking to solve the problem of serving patients living with serious illnesses by developing innovative medicines and treatments, and is seeking a Senior Machine Learning Engineer to help make a lasting impact on the lives of patients.
Requirements
- Strong programming skills in Python or R, library and packages related to data manipulation, statistical analysis, chart/plot, and machine learning algorithms and framework.
- Familiar with PySpark dataframe and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning libraries
- Familiar with Machine Learning life cycle, be able to implement feature store, MLflow, model registry, model deployment, model serving, model monitoring
- Proficiency in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
- Experience with data modeling for both OLAP and OLTP databases, hands-on experience with SQL, especially SparkSQL performance tuning
- Experience with software DevOps CI/CD tools, GitLab
- Familiar with AWS, Azure, or Google Cloud
Responsibilities
- Be a key team member assisting in design and development of the data pipeline for Global Data and Analytics team, such as data cleaning and transformation.
- Able to explore, understand various datasets used in biotech/pharma commercial data analytics; Able to create informative and appealing data visualizations.
- Work with Data Scientist to perform data cleaning, statistical analysis, feature engineering; Develop pipeline for model selection, training, and evaluation.
- Understand experimental design and conducting A/B tests for data-driven decision-making.
- Ensure consistent feature engineering between training and model serving.
- Automate model deployment, monitoring, model retrain process.
- Adhere to best practices for coding, testing and designing reusable code/component.
Other
- Doctorate degree
- Masters degree and 2 years of Data Science/Machine Learning experience
- Bachelors degree and 4 years of Data Science/Machine Learning experience
- Associates degree and 8 years of Data Science/Machine Learning experience
- High school diploma / GED and 10 years of Data Science/Machine Learning experience
