AI Engineer

Role Overview

At Quest Global, we are an engineering services provider with over 25 years of experience. We bring together technologies and industries to solve problems better and faster, empowering a diverse workforce to make a positive difference in the world.

Responsibilities

• Extract, clean, validate, and visualize structured and unstructured data using Python and SQL.
• Apply statistical analysis, hypothesis testing, and exploratory data analysis (EDA) to uncover patterns and define business metrics.
• Design, build, test, and optimize machine learning models including regression and neural networks.
• Develop scalable, efficient, and reliable AI-powered applications in Python.
• Support should-costing and design-to-cost analysis for new and legacy products.
• Collaborate with Engineering, Product Sourcing, and Operations teams during NPI, RFI, and RFQ phases.
• Drive strategic projects involving process optimization and Lean-oriented automation.
• Present technical findings to non-technical stakeholders and support tool deployment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mechanical Engineering, or a related field.
• Practical exposure to developing AI-powered applications with Python and knowledge of mechanical products.
• Strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras.
• Strong SQL skills and knowledge of databases like SQL Server or MongoDB.
• Understanding of manufacturing processes (stamping, machining, casting, etc.) is a strong advantage.
• Knowledge in should-costing, design-to-cost analysis, and statistical data analysis.

Skills

• Python
• SQL
• TensorFlow
• Scikit-learn
• Pandas