Senior Machine Learning Engineer

Key Skills

Algorithms, Analytical and Problem solving, Apache Airflow, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, DevOps, Docker, Effective communication skills, Employee life cycle, ETL frameworks, GitLab, Java Programming, Keras software library, Kubernetes-K8s, Machine learning techniques, MLflow, PySpark, Python Programming, PyTorch, R Programming, SPARK Programming, Spark-SQL, TensorFlow

Job Description

What you will do

Let’s do this. Let’s change the world. In this vital role you will bepartof the technical/engineering team, develop data flow pipelines to extract, transform, and load data from various data sources in various data format to enterprise data lake and data warehouse system in three regions in AWS, provide data analytics and predictive analysis to business users. We look for people who can work in a team, able to mentor junior engineers, is curious to learn and able to develop data engineering and machine learning engineering solution in a fast-moving environment.

• Be a key team member assisting in design and development of the data pipeline for Global Data and Analytics team
• Work with Data Scientist to perform statistical analysis and model fine-tuning using test results; train and retrain system when necessary
• Work with Data Scientist to analyze common features across use cases; define reusable features in feature tables
• Ensure consistent feature engineering between training and model serving
• Automate model monitoring, model retrain, model deployment process based on business requirement
• Adhere to best practices for coding, testing and designing reusable code/component
• Able to explore new tools, technologies that will help to improve ETL platform performance and machine learning operations
• Participate in sprint planning meetings and provide estimations on technical implementation; Collaborate and communicate effectively with the product team
• Mentor junior data/machine learning engineer

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications:

Basic Qualifications:

Doctorate degree

OR

Master’s degree and 3+ years of Information Systems experience

OR

Bachelor’s degree and 5+ years of Information Systems experience

OR

Associate’s degree and 10+ years of Information Systems experience

Or

High school diploma / GED and 12+ years of Information Systems experience

Preferred Qualifications:

• Ability to write robust code in Python, Java or R
• Outstanding analytical and problem-solving skills; Ability to learn quickly and detail oriented
• Familiar with PySpark data frame 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
• Experience with machine learning operations
• Deep knowledge of math, probability, statistics and algorithms
• 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, such GitLab
• Experience with docker container, Kubernetes container orchestration
• Experience with Apache Airflow and Apache Spark; Spark performance turning
• Experience with Pharmaceutical industry, commercial operations
• Excellent communicationskills and ability to work in a team

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

In addition to the base salary, Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:

• Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical,dental and vision cover age,life and disability insurance, and flexibles pending accounts.
• A discretion ary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans and bi-annual company-wide shutdowns
• Flexible work models, including remote work arrangements, where possible