Senior Engineer - Machine Learning Operations

GlobalFoundries; Penang; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading semiconductor foundry in Malaysia, is seeking a skilled Senior Engineer - Machine Learning Operations to take ML models from conception to production. You will design scalable ML microservices, optimize live ML services, and collaborate with cross-functional teams to drive innovation in ML operations. The ideal candidate has a Bachelor's degree in computer science, strong programming skills, and experience with MLOps tools. This role offers opportunities in a diverse and inclusive workplace.

Qualifications

• Minimum of 4 years' experience in software engineering or machine learning engineering preferred.
• Strong programming skills with knowledge of design patterns and object-oriented design.
• Proficiency in MLOps tools and scaling delivery of models.

Responsibilities

• Design and implement ML microservices and pipelines in production.
• Develop pipelines for continuous operation, feedback, and monitoring of ML models.
• Maintain and optimize live productive ML services focusing on scalability and reliability.

Skills

Programming in Python

Java

SQL variants

MLOps tools

Kubernetes

Docker

TensorFlow

Keras

PyTorch

Education

Bachelor's degree in computer science or equivalent

Tools

AWS cloud platform

Job description

Senior Engineer - Machine Learning Operations

GlobalFoundriesis 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, visitwww.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.

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.