Manufacturing AI & Analytics Engineer

WCL Group

Greenville (SC)

On-site

USD 84,000 - 92,000

Full time

4 days ago
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Job summary

Fortune 500 Energy and Industrial Technology Company in Greenville, SC is seeking a Data & Analytics - Manufacturing Software, Analytics & AI Engineer to design and implement software, analytics, and AI tools for the manufacturing floor.

You will collaborate with CNC programmers, operators, and engineers to translate real-world needs into practical solutions, ranging from machining process comparisons to maintenance history retrieval, automation of tasks, and visibility of engineering changes.

Qualifications

  • Practical programming experience in Python, C#, or a comparable language.
  • Experience with structured data, APIs, or system integrations.
  • Experience delivering and supporting a software, analytics, or automation solution used in an engineering or industrial environment.
  • Degree in engineering, computer science, data analytics, or a related field, or equivalent practical experience.

Responsibilities

  • Develop engineering applications and automation.
  • Build and maintain utilities, integrations, and user interfaces for manufacturing workflows.
  • Work with users to define the problem, test a solution on representative cases, and refine it through hands-on use.
  • Make manufacturing data usable and traceable across systems.
  • Coordinate validation and rollout with stakeholders on the shop floor.

Skills

Python
C#
Data analytics

Education

Engineering or related field degree

Tools

Siemens NX
NX Open
APIs

Job description

Fortune 500 Energy and Industrial Technology Company in Greenville, SC is seeking a Data & Analytics - Manufacturing Software, Analytics & AI Engineer to design and implement software, analytics, and AI tools for the manufacturing floor.

You will collaborate with CNC programmers, operators, and engineers to translate real-world needs into practical solutions, ranging from machining process comparisons to maintenance history retrieval, automation of tasks, and visibility of engineering changes.

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