AI/ML Engineer: Build Production-Ready AI Apps

AMETEK Inc.; Mount Prospect (IL); On-site; USD 120,000 - 140,000; Full time

Job summary

AMETEK Inc. is seeking an AI Engineer/Data Scientist to design, develop, and deploy AI/ML-powered software solutions that advance operations and product innovation.

You will work within the software engineering team to build AI capabilities, including LLM-based tools, copilots, data pipelines, and cloud applications, following architecture guidelines and responsible-AI practices. Responsibilities include developing AI-powered apps, integrating data pipelines, supporting deployment with MLOps,

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)
• 2+ years in software engineering, architecture, or applied data/ML engineering with production AI/ML solutions.

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.
• Identify high-value AI use cases with stakeholders and translate requirements into working solutions.
• Collaborate with product managers and engineering leadership to deliver scalable, reliable software.
• Ensure software is secure, maintainable, and compliant with engineering standards.

Skills

LLM-based apps

Copilots

Data pipelines

MLOps

Security & privacy

Responsible AI

Agile development

Cross-functional collaboration

Education

Bachelor’s degree in CS/SE/Data Science or related

Master’s degree preferred (AI/ML or related)

Tools

Azure

AWS

APIs/Microservices

CI/CD

Job description

AMETEK Inc. is seeking an AI Engineer/Data Scientist to design, develop, and deploy AI/ML-powered software solutions that advance operations and product innovation.

You will work within the software engineering team to build AI capabilities, including LLM-based tools, copilots, data pipelines, and cloud applications, following architecture guidelines and responsible-AI practices. Responsibilities include developing AI-powered apps, integrating data pipelines, supporting deployment with MLOps,