채용
Required Skills
Python
SQL
Machine Learning
Statistics
Data Analysis
Lead AI/ML Specialist
Global Foundries (GF) 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, GF 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.
Summary of Role:
The AI/ML Specialist is responsible for designing, developing, and operationalizing machine learning solutions that address high impact business needs. This role involves building and optimizing predictive and prescriptive models, performing largescale data analysis and feature engineering, and translating business requirements into effective analytical strategies. The specialist works with complex datasets and leverages modern MLOps tools and cloud platforms to deploy, monitor, and maintain models reliably. Success in this role requires strong technical expertise in Python, SQL, and leading ML frameworks, along with the ability to collaborate cross functionally, communicate insights to nontechnical stakeholders, and contribute to team growth through mentorship and knowledge sharing.
Key Responsibilities:
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Build, validate, and optimize predictive and prescriptive models for key business use cases.
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Conduct exploratory data analysis, feature engineering, and experimentation at scale.
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Translate business problems into analytical frameworks and clear model strategies.
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Evaluate model performance and drive continuous improvement.
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Work with large, complex datasets from various internal systems.
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Package and deploy models using standard MLOps frameworks (e.g., Dataiku, Sagemaker, MLflow).
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Collaborate with MLOps/DevOps engineers on CI/CD pipelines for model deployment.
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Implement basic model monitoring, versioning, and lifecycle management.
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Understand containerized deployment concepts (Docker/Kubernetes) at a functional level.
Key skills:
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Expertise in Python, SQL, and common AI/ML libraries (scikitlearn, pandas, Num Py, Tensor Flow/Py Torch).
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Strong foundation in mathematical modeling, statistics, and machine learning algorithms.
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Experience in crafting ML solutions end to end: problem framing → modeling → validation → deployment.
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Strong analytical thinking and experience solving non‑recurring, complex problems.
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Familiarity with model deployment workflows: packaging, APIs, job scheduling.
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Basic knowledge of CI/CD practices, automated pipelines, and model governance.
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Comfortable working with cloud platforms (AWS preferred).
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Strong foundation in Generative AI and Agentic AI based project development & deployment.
Accountability:
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Ability to collaborate with data engineers, business SMEs, senior AI SMEs, and cloudops teams.
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Strong communication skills to explain models and insights to non‑technical teams.
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Willingness to mentor junior data scientists and participate in cross functional initiatives.
Required Skills & Qualifications:
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Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or related fields.
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4+ years of applied data science experience (or equivalent).
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Demonstrated experience building and deploying ML models in real-world applications.
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Hands-on experience with data manipulation, feature engineering, and ML experimentation.
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Exposure to MLOps tools (Sagemaker, MLflow, Dataiku, etc.).
About Global Foundries
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.
To ensure that we maintain a safe and healthy workplace for our Global Foundries employees, please note that offered candidates who have applied for jobs in India will have to be fully vaccinated prior to their targeted start date.
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%
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
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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GlobalFoundries: Repositioning Toward Long-Cycle Growth In An Era Of Semiconductor Reshoring - Seeking Alpha
Source: Seeking Alpha
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GlobalFoundries Shows Market Leadership With Jump To 85 RS Rating - Investor's Business Daily
Source: Investor's Business Daily
News
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