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GLOBALFOUNDRIES

AI/ML Analytics Engineer

GLOBALFOUNDRIES
Malta, NY $58k - $101k/yr Full time Posted 24d ago
Ai Ml Analysis Analytics Artificial Intelligence Business Analytics Data Analysis Data Analytics Data Processing Data Science Digital Marketing Predictive Analytics Production Analytics Reporting and Analytics SQL Statistical Analysis
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Job Description

This role supports the Analytics Center of Excellence within Digital Manufacturing at GLOBALFOUNDRIES, helping develop data-driven solutions for semiconductor manufacturing as part of an AI/ML Analytics engineering track for new college graduates.

Location

Malta, NY (onsite)

Compensation

USD 58,400 - 100,800 per year.

The exact salary is determined based on qualifications, experience, and location.

Summary

As an AI/ML Analytics Engineer, you will help define project objectives and success measures, prepare manufacturing datasets, and apply statistical and machine learning methods. The position also includes developing predictive agentic solutions and communicating recommendations to technical stakeholders and Fab leadership.

Responsibilities

  • Partner with the Analytics Center of Excellence Digital Manufacturing Manager to define project objectives, deliverables, success measures, and timelines.
  • Support the design, development, programming, testing, and documentation of analytics methods, processes, and systems across multiple use cases.
  • Collaborate with manufacturing, engineering, and cross-functional teams to understand business needs and translate requirements into measurable data-driven approaches.
  • Collect, clean, integrate, and preprocess large datasets from multiple sources.
  • Apply statistical analysis, visualization, and machine learning techniques to identify patterns, trends, root causes, and improvement opportunities.
  • Develop, evaluate, and implement predictive models and algorithms, including agentic solutions, for real-world manufacturing problems.
  • Communicate findings, limitations, and recommendations to technical stakeholders and Fab leadership using SMART objectives and clear measures of value.
  • Perform all activities safely and responsibly, supporting Environmental, Health, Safety & Security requirements and programs.

Required Qualifications

  • Graduating with a Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Computer Engineering, or a related field from an accredited program.
  • At least an overall 3.0 GPA and proven good academic standing.
  • English proficiency (written and verbal).

Preferred Qualifications

  • Prior related internship or co-op experience.
  • Demonstrated leadership experience in the workplace, school projects, competitions, or similar settings.
  • Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support decision-making.
  • Project management skills, including the ability to innovate, execute solutions that matter, and navigate ambiguity.
  • Strong written and verbal communication skills.
  • Strong planning and organizational skills.
  • Coursework, research, internship, or project experience in statistical analysis, machine learning, predictive modeling, data visualization, or digital manufacturing analytics.
  • Programming experience with Python, R, SQL, or similar tools, including data preparation, model evaluation, visualization, and reproducible analytical workflows.
  • Programming experience building agentic solutions, including rapid prototyping, developing new features, and scaling solutions.

Technology Stack

  • Python
  • R
  • SQL

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