AI/ML Engineer — Build Production-Ready AI Solutions

AMETEK; Mount Prospect (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Atlas in Mount Prospect, IL is seeking an AI Engineer/Data Scientist to design, develop, and deploy AI/ML-powered software solutions that advance business operations and product innovation. The role sits in the software engineering team and requires translating requirements into scalable, production-grade systems with strong collaboration across stakeholders.

The ideal candidate combines hands-on technical depth across the full AI/ML lifecycle with an emphasis on security, privacy, and

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Data Engineering, Electrical/Computer Engineering, or related field required
• Master’s degree preferred (AI/ML, Computer Science, Software Engineering, or related)
• Hands-on capability delivering AI/ML solutions into production environments

Responsibilities

• Develop, test, and deploy AI-powered software applications, including LLM-based tools, copilots, and automation solutions
• Develop and integrate APIs, services, and data pipelines that support AI functionality
• Contribute to identifying and prototyping high-value AI use cases in partnership with business, engineering, and lab-services stakeholders
• Translate defined requirements from product managers and engineering leadership into working solutions
• Develop reliable, maintainable, and scalable software following team standards and established architectural guidelines

Skills

LLM-based apps

AI/ML lifecycle

Collaboration

Cloud-based deployment

Software design

Education

Bachelor’s degree in CS/Engineering/Data Science

Master’s preferred (AI/ML/CS)

Tools

Azure/AWS

APIs/Microservices

CI/CD

Job description

Atlas in Mount Prospect, IL is seeking an AI Engineer/Data Scientist to design, develop, and deploy AI/ML-powered software solutions that advance business operations and product innovation. The role sits in the software engineering team and requires translating requirements into scalable, production-grade systems with strong collaboration across stakeholders.

The ideal candidate combines hands-on technical depth across the full AI/ML lifecycle with an emphasis on security, privacy, and