Senior Engineer - Machine Learning

About GlobalFoundries 

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. 

Your Job:  

• Take ML models/algorithms from conception to production, by designing and implementing ML microservices and pipelines in production environment. 

• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain.  

• This can include monitoring for data drift, triggering model retraining and setting up rollbacks. 

• Maintain and continuously optimize live productive ML services with a focus on scalability, availability, and reliability. 

• Strive for automation and cloud operation readiness. 

• Collaborate with data scientists and data engineers to deliver ML models in productive services. 

• Stay updated with the latest trends and technologies in AI/ML, GenAI and MLOps to drive innovation and system enhancements. 

Required Qualifications:  

• Bachelor's degree in computer science or equivalent. A minimum of 4 years' experience in software engineering or machine learning engineering is preferred. 

• Strong programming skills in Python, Java and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design. 

• Proficiency in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms 

• Familiar with Kubernetes and Docker, including installation, deployment, configuration and optimization. 

• Good understanding of ML frameworks such as TensorFlow, Keras, PyTorch. 

• Experience in web development skills such as HTML, Javascript, CSS is a big plus. 

• Knowledge of AWS cloud platform would be an advantage. 

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. 

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