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Manufacturing / Process Improvement Engineer

Devnova · Lahore

New
Mid 🇬🇧 English

Job description

About the role

AIMA OPEX builds AI-powered tools that turn manufacturer operational knowledge into clear, structured standard operating procedures (SOPs) and visual instructions for operators. This role reviews and refines AI-generated operations within the AIMA OPEX platform, checking each operation and its steps against factory source material and correcting procedures, parts, tools, quantities and images. It works closely with factory associates and the implementation and engineering teams.

Key responsibilities

  • Review AI-generated SOPs, operations and steps for technical accuracy, completeness and correct sequence.
  • Verify and correct part names, tool requirements, quantities, units and specifications against factory documentation.
  • Refine step procedures into clear, precise instructions and check that images show the correct action, tools, components and assembly stage.
  • Select replacement images from factory associates' notes and other material in the platform.
  • Cross-reference instructions with factory notes, photos, videos, bills of materials and engineering drawings.
  • Identify missing steps, ambiguous wording, conflicts and safety or quality concerns, and get clarification before finalising.
  • Maintain consistent terminology and documentation standards, recommend improvements and flag process improvement opportunities.
  • Track corrections, prepare SOPs for approval and share recurring AI-generated errors with the engineering team.

Required profile

  • Bachelor's degree in Industrial, Manufacturing or Mechanical Engineering, or a related discipline; equivalent practical experience also considered.
  • Hands-on experience creating, validating or improving manufacturing SOPs, assembly instructions or standardised work documentation.
  • Strong understanding of manufacturing processes, production workflows, tools and components.
  • Ability to interpret technical documentation and spot discrepancies between written instructions and visual evidence.
  • Excellent attention to detail on parts, quantities, specifications and step sequences.
  • Strong written English and effective communication with factory associates and cross-functional teams.
  • Confidence using digital platforms to review, edit and organise technical content.

Desirable skills

  • Experience in manufacturing engineering, production engineering, quality assurance or continuous improvement.
  • Familiarity with lean manufacturing, standardised work and error prevention.
  • Experience interpreting bills of materials, engineering drawings or visual assembly guides.
  • Experience with AI-generated documentation or digital work-instruction systems.

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Published 2 hours ago

Expires 1 month from now

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Devnova

Lahore