Machine Learning Engineer for Digital Manufacturing

Singapore - Singapore

Monthly Salary: Not Disclosed

Posted on: 5 days ago

Vacancies: 1 Vacancy

Job Summary

About GlobalFoundries

GlobalFoundriesis a leading full-service semiconductor foundry providing a unique combination of design development and fabrication services to some of the worlds 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.

Introduction

As aMachine LearningEngineerfor Digital Manufacturing you will bejoiningtheDigital Manufacturing Groupand perform a key rolewithin theAI Integrationteam andassistin theAI/ML/GenAI solutions technical requirements.You will helpestablishbest practices foranalyticsusecase development deployment scaling and maintenance of AI/ML projects.

Responsibilities

Support the AI Integration Team indeveloping and deploying AI/ML models.
Work withhighly complexdata for feature development using AI/ML models.
Work closely with teams in Digital Manufacturing and other stakeholders to define projectobjectives deliverables and timelines.
Adapt to evolvingtechnologies and learn new tools and techniques. Committed to stay updated with theState-of-the-Artadvancements in AI/ML.

Required Qualifications

Bachelors degree in engineering Computer Science or related quantitative field.
A minimum of 2 years of experiencein ML engineering or Applied AI.
ProficiencyinAI/ML techniquesandframeworks(incl.PyTorch Scikit-LearnLangChainetc.) 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

Masters degreein 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 andmaintaindata dictionaries.
Experience with data governance frameworks and guidelines.
Exposure to semiconductor/manufacturing domain.

GlobalFoundries is an equal opportunity employer cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivityefficiencyand innovation whilst our employees feel truly respectedvaluedand 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: Experience:

About GlobalFoundriesGlobalFoundriesis a leading full-service semiconductor foundry providing a unique combination of design development and fabrication services to some of the worlds most inspired technology companies. With a global manufacturing footprint spanning three continents GlobalFoundries ...

About GlobalFoundries

Introduction

Responsibilities

Support the AI Integration Team indeveloping and deploying AI/ML models.
Work withhighly complexdata for feature development using AI/ML models.
Work closely with teams in Digital Manufacturing and other stakeholders to define projectobjectives deliverables and timelines.
Adapt to evolvingtechnologies and learn new tools and techniques. Committed to stay updated with theState-of-the-Artadvancements in AI/ML.

Required Qualifications

Bachelors degree in engineering Computer Science or related quantitative field.
A minimum of 2 years of experiencein ML engineering or Applied AI.
ProficiencyinAI/ML techniquesandframeworks(incl.PyTorch Scikit-LearnLangChainetc.) 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

Masters degreein 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 andmaintaindata dictionaries.
Experience with data governance frameworks and guidelines.
Exposure to semiconductor/manufacturing domain.