Generative AI Engineer

What you will doLet’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 necessaryWork with Data Scientists to analyze, extract, and engineer common features across use cases; define reusable features in feature tablesEnsure consistent feature engineering between training and model servingAutomate model monitoring, model retrain, model deployment process based on business requirementAdhere to best practices for coding, testing and designing reusable code/componentsExplore new tools and technologies that will help to improve ELT platform performance and machine learning operationsParticipate in sprint planning meetings and provide estimations on technical implementation; Collaborate and communicate effectively with the product teamWhat we expect of youWe 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 degreeOr Bachelor’s degree and 2 years of software engineering experienceOR Associate’s degree and 6 years of software engineering experienceOr High school diploma / GED and 8 years of software engineering experiencePreferred Qualifications:Ability to write robust code in Python, Java or ROutstanding analytical and problem-solving skills; Ability to learn quickly and be detail-orientedFamiliar with PySpark and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning librariesFamiliar with Machine Learning life cycle, with knowledge of feature stores, MLflow, model registries, model deployment, model serving, and model monitoringExperience with machine learning operationsExperience with data modeling for both OLAP and OLTP databases, hands-on experience with SQL, especially SparkSQL performance tuningExperience with software DevOps CI/CD tools, such GitLabExperience with container orchestrationExperience with Apache Airflow and Apache SparkFamiliarity with Veeva or other Regulatory platforms in BioPharmaExperience with Pharmaceutical industry, commercial operationsExcellent communication skills and ability to work in a team environmentWhat you can expect of usAs 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 planStock-based long-term incentivesAward-winning time-off plans and bi-annual company-wide shutdownsFlexible work models, including remote work arrangements, where possible

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