Jobs
Required Skills
Python
Java
SQL
MLOps
Kubernetes
Docker
About Global Foundries
Global Foundries 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, Global Foundries 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:
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Take ML models/algorithms from conception to production, by designing and implementing ML microservices and pipelines in production environment.
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Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain.
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This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
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Maintain and continuously optimize live productive ML services with a focus on scalability, availability, and reliability.
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Strive for automation and cloud operation readiness.
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Collaborate with data scientists and data engineers to deliver ML models in productive services.
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Stay updated with the latest trends and technologies in AI/ML, GenAI and MLOps to drive innovation and system enhancements.
Required Qualifications:
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Bachelor's degree in computer science or equivalent. A minimum of 4 years' experience in software engineering or machine learning engineering is preferred.
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Strong programming skills in Python, Java and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
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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
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Familiar with Kubernetes and Docker, including installation, deployment, configuration and optimization.
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Good understanding of ML frameworks such as Tensor Flow, Keras, Py Torch.
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Experience in web development skills such as HTML, Javascript, CSS is a big plus.
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Knowledge of AWS cloud platform would be an advantage.
Global Foundries 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 Global Foundries 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
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About GlobalFoundries
Reviews
3.4
9 reviews
Work Life Balance
3.2
Compensation
3.1
Culture
3.4
Career
2.8
Management
2.9
65%
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Pros
Good learning experience and knowledge sharing
Decent pay and benefits
Diverse and welcoming culture
Cons
Limited career growth opportunities
Management and communication issues
Cost cutting and layoffs
Salary Ranges
0 data points
Junior/L3
Junior/L3 · Venture Capitalist
0 reports
$89,550
total / year
Base
-
Stock
-
Bonus
-
$76,118
$102,983
Interview Experience
51 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer Rate
36%
Experience
Positive 68%
Neutral 20%
Negative 12%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
News & Buzz
GlobalFoundries $GFS has 101.25% Institutional Ownerships with 11.66% of the float short.
When it was announced that Nvidia bought Groq on Dec 24th, the maker of SRAM heavy AI chips, for $20B, that piqued my interest and I looked into who fabs the chips for them, which turned out to be GlobalFoundries $GFS, who were pivoting into being a Fab for chips suited for Physical AI and Robotics,
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