Data Engineer - Machine Learning/Data Science

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Introduction

The Data Science team in GLOBALFOUNDRIES has a primary mission of delivering data engineering, advanced analytics, and machine learning applications to improve business operations in any of our business units. We are involved in the entire application lifecycle from concept to deployment.

The successful candidate will help architect and build data flows for advanced analytics and machine learning applications, as well as build custom tools to facilitate the speedy development and release of the applications.

Essential Responsibilities

• Build tools to automate and improve development and release processes and deploy Machine Learning (ML) to large production environments.
• Utilize Versioning Repository tools, Continuous Integration Frameworks, Application Containerization, Automation Deployment, Code Quality and Code Security Scanning tools.
• Design, build, and maintain efficient, reusable, and tested code in Python and other applicable languages and library tools.
• Design modern data pipeline architectures and build tooling to efficiently tackle Big Data projects in a multi-cloud environment.
• Able to handle multiple projects.
• Present project status to peers and the leadership team as needed, collaborate across organizational boundaries.

• B.S. in Computer Science, Software Engineering, or equivalent field with 2-4 years industrial experience, or M.S. with 1-3 years experience.
• Experience with full stack development
• Understanding of REST APIs, JSON data format
• Experience with ML services in AWS ecosystem
• Experience with the deployment of big data ETL pipelines in the cloud, e.g. PySpark
• Experience with of SQL and NoSQL databases, Python, Docker containers
• Exposure to and/or understanding of ML tools/libraries such as: TensorFlow/Keras, PyTorch, Pandas
• Understanding of advanced data analytics and machine learning
• Prior experience architecting end-to-end pipeline for ML and Analytics using AWS services.
• Understanding of MLOps tools and flow

• B.S. in Computer Science, Software Engineering, or equivalent field with 4-5 years industrial experience, or M.S. with 2-4 years’ experience.
• Experience in project management, structured problem solving, and structured risk assessment and mitigation.
• Experience deploying advanced data analytics and machine learning applications.
• Understanding of AWS Well Architected Framework (6 pillars)
• Experience mentoring junior engineers / interns.
• AWS certifications (Associate Solution Architect

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

To ensure that we maintain a safe and healthy workplace for our GlobalFoundries employees, please note that offered candidates who have applied for jobs in India will have to be fully vaccinated prior to their targeted start date. For new hires, the appointment is contingent upon the provision of a copy of their COVID-19 vaccination document, subject to any written request for medical or religious accommodation.

Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia