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JobsGlobalFoundries

Machine Learning Engineer for Digital Manufacturing

GlobalFoundries

Machine Learning Engineer for Digital Manufacturing

GlobalFoundries

Singapore

·

On-site

·

Full-time

·

1w ago

Required Skills

Machine Learning

Python

PyTorch

Scikit-Learn

MLOps

AWS

Data pipelines

Problem-solving

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.

Introduction

As a Machine Learning Engineer for Digital Manufacturing, you will be joining the Digital Manufacturing Group and perform a key role within the AI Integration team and assist in the AI/ML/GenAI solutions’ technical requirements. You will help establish best practices for analytics use case development, deployment, scaling, and maintenance of AI/ML projects.

Responsibilities

  • Support the AI Integration Team in developing and deploying AI/ML models.

  • Work with highly complex data for feature development using AI/ML models.

  • Work closely with teams in Digital Manufacturing and other stakeholders to define project objectives, deliverables, and timelines.

  • Adapt to evolving technologies and learn new tools and techniques. Committed to stay updated with the State-of-the-Art advancements in AI/ML.

Required Qualifications

  • Bachelor's degree in engineering, Computer Science, or related quantitative field.

  • A minimum of 2 years of experience in ML engineering or Applied AI.

  • Proficiency in AI/ML techniques and frameworks (incl. Py Torch, Scikit-Learn, Lang Chain etc.), and model deployment strategies.

  • Familiarity with MLOps, CI/CD pipelines for ML, and monitoring tools for model performance and drift detection.

  • Practical experience with AWS services for ML deployment.

  • Deep understanding of data pipelines, and data quality principles.

  • Flexibility and ability to work with ambiguous problems and unstructured data.

  • Excellent communication and collaboration skills.

  • Ability to work independently and as part of a cross-functional international team.

  • Strong problem-solving and analytical skills with a passion for building high-quality solutions.

Preferred /Nice to have

  • Master's degree in engineering, Computer Science, or related quantitative field.

  • Extensive experience with cloud platforms (AWS, Azure, Google Cloud) for building and deploying AI solutions.

  • Ability to enforce data quality standards and maintain data dictionaries.

  • Experience with data governance frameworks and guidelines.

  • Exposure to semiconductor/manufacturing domain.

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

GlobalFoundries

A full-service semiconductor foundry that manufactures integrated circuits in high volume.

10,001+

Employees

Santa Clara

Headquarters

Reviews

3.4

9 reviews

Work Life Balance

3.2

Compensation

3.1

Culture

3.4

Career

2.8

Management

2.9

65%

Recommend to a Friend

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