Title: ML Dev/Ops Architect

Introduction

Join GlobalFoundries’ Advanced Analytics and Machine Learning department and help us create a global framework for ML operations. Help us develop and apply machine learning lifecycle best known methods for all AI/ML models created.

Job Responsibilities:

• Automate ML process and make models work in a production environment.
• Architect and create data views from the big data store to feed into analysis engines, ML Models, visualization engines, etc.
• Develop the global roadmap and strategy for production ML flows

Required Qualification

• Education: BS or MS in computer science, data science, or related field
• Years of Experience: 2+ years
• Fluency in English Language – written & verbal

Preferred Qualification

• Solid programming skills in one or more of the following coding languages: Python (with basic ML libraries), pyspark, Java, and SQL.
• Hands-on Machine Learning/Data Science deployment experience in cloud and edge analytics infrastructure, and AWS.
• Experience in data wrangling, data transformation using python and/or Big data frameworks.
• Proficient in git version control. Hands-on CI/CD with jenkins or other similar tools.
• Experience in Kubernetes/Docker and Microservices.
• Experience in working with ML frameworks.
• Experience working with basic ML libraries and packages.