Analyst, Machine Learning

Job Overview

We are seeking a high-potential, entry-level Analyst, AI/ML with a passion for applying artificial intelligence to real-world business problems. The Analyst, AI/ML will assist in identifying and understanding business opportunities, exploring the latest AI/ML trends and offerings, and support the delivery of end-to-end solutions — from concept to benefit realization.

Job Responsibilities

• Passionate about manufacturing, with a commitment to leverage AI to improve processes and drive efficiency.
• Stay on top of cutting-edge AI/ML tools, frameworks, and applications to assist in the identification of relevant opportunities for the business.
• Assist in the design, development, and deployment of AI/ML models and solutions for real-world use cases.
• Support projects from problem definition, data gathering, and modeling to deployment and monitoring.
• Document clean and efficient code for AI/ML pipelines, APIs, and integrations.
• Work closely with business teams to understand challenges and propose AI-driven solutions.
• Share knowledge through demos, presentations, and internal training to foster an AI mindset.
• Learn, ascertain applicability, and apply your knowledge to GLC with new products in the AI space.
• Ability to multi-task and succeed in a lean working environment with minimal supervision bringing in the ownership culture.

Required Education and Experience

• Bachelor’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field (or equivalent experience), or a high school diploma with 4 years of relevant experience in lieu of a degree. 
• Understanding of applied AI concepts (supervised/unsupervised learning, NLP, computer vision, generative AI, etc.).
• Proficiency in general-purpose programming languages (Python preferred; familiarity with Java, C++, or JavaScript is a plus).
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face.
• Understanding of data preprocessing, feature engineering, and model evaluation.
• Self-driven, curious, and able to learn new tools quickly.
• Automate data refreshes and ensure real-time or near-real-time availability for AI/ML initiatives.
• Strong intuition for understanding datasets and skillfully chooses visualizations that best convey the story behind the data.
• Proficient in MSSQL for data extraction, transformation, and analysis.
• Excellent communication skills with the ability to translate data concepts clearly to non-technical stakeholders. 

Preferred Education and Experience

• 0-2 years of relevant experience. 
• Internships at organizations where you displayed real work AI knowledge and capabilities.
• Academic projects, or personal projects applying AI to solve real-world problems.
• Exposure to cloud AI platforms (eg Azure, AWS).
• Exposure to ERP (SAP, Oracle, etc.) and Shop Floor (Aveva, Rockwell) systems.
• Familiarity with modern development workflows (Git, CI/CD).

Working Conditions

EEOC & Disclaimer