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Generative AI Engineer
2 months ago
What you will do
Let’s do this. Let’s change the world. In this vital role you will work with our Research and Development (R&D) Digital Technology and Innovation (DTI) group supporting R&D’s Global Regulatory Affairs & Strategy (GRAAS) function in alignment with our business and DTI strategy. You will be an integral member of a newly formed Agile Product Team that will own Amgen's Structured Content Authoring solution, enabling R&D to redefine common technical document (CTD) authoring and the overall submission processes. You will be collaborating closely with a multi-functional group of stakeholders, data scientists, data engineers, GenAI, and ML engineers to revolutionize the common technical document and overall submission processes. You will deliver AI/ML solutions through collaboration with data scientists on feature extraction, collaboration with data engineers who build reliable data pipelines that support the machine learning lifecycle from model development to consumption, and implementation of MLOps to provide consistent input and output patterns to integrate/consume/reuse models.
Work with Data Scientists to facilitate their statistical analysis and model fine-tuning using test results; train and retrain systems when necessary
Work with Data Scientists to analyze, extract, and engineer 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/components
Explore new tools and technologies that will help to improve ELT 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
Win
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek will have these qualifications.
Basic Qualifications:
Master’s degree
Or
Bachelor’s degree and 2 years of software engineering experience
OR
Associate’s degree and 6 years of software engineering experience
Or
High school diploma / GED and 8 years of software engineering experience
Preferred Qualifications:
Ability to write robust code in Python, Java or R
Outstanding analytical and problem-solving skills; Ability to learn quickly and be detail-oriented
Familiar with PySpark and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning libraries
Familiar with Machine Learning life cycle, with knowledge of feature stores, MLflow, model registries, model deployment, model serving, and model monitoring
Experience with machine learning operations
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 container orchestration
Experience with Apache Airflow and Apache Spark
Familiarity with Veeva or other Regulatory platforms in BioPharma
Experience with Pharmaceutical industry, commercial operations
Excellent communication skills and ability to work in a team environmen
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.
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 coverage, life and disability insurance, and flexible spending accounts.
A discretionary 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
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