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Data Domain Expert

Role overview

Qualifications

  • 3–6 years of experience in mechanical engineering/electrical engineering/electronics engineering roles within OEMs or manufacturing organizations
  • Strong understanding of mechanical and manufacturing concepts
  • Ability to interpret technical data and explain it clearly to non-domain teams
  • Experience with reviewing, validating, or tagging data

Responsibilities

  • Understand and review mechanical and manufacturing-related client data
  • Guide data processing teams on data relevance and usage
  • Help define tagging and classification guidelines
  • Review processed outputs and provide feedback for corrections

About the company

Apiphany logo

Apiphany

Artificial Intelligence & Machine Learning Services

Born in the cloud, Apiphany’s API Delivery Platform was designed to help organizations drive developer adoption, control and scale their APIs, and gain insights into their API ecosystem. Apiphany architected its product to be the most cost-effective solution in the market. We believe every organization needs an API to participate in the API economy by connecting and doing business with their customers, partners, and affiliates. Regardless of the size of the organization or enterprise, API delivery platforms should be affordable. Our primary design goal was to make it simple for organizations to get started with an API delivery platform without the unnecessary obstacles, fees, and waste associated with other first-generation platforms. It’s a simple, pay-as-you-go, SaaS subscription model.

Company details

IndustryArtificial Intelligence & Machine Learning Services
Company size11 - 50

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Job description

We are looking for a Data Domain Specialist with prior industry experience who can help interpret and review client-provided mechanical and manufacturing-related data. This role acts as a bridge between client data and internal teams, ensuring the data being processed is relevant, accurate, and useful.

Key Responsibilities

  • Understand and review mechanical and manufacturing-related client data

  • Guide data processing teams on data relevance and usage

  • Help define tagging and classification guidelines

  • Review processed outputs and provide feedback for corrections

  • Support quality checks and validation activities

  • Assist during client discussions when domain input is required

Required Skills & Experience

  • 3–6 years of experience in mechanical engineering/electrical engineering/electronics engineering roles within OEMs or manufacturing organizations

  • Strong understanding of mechanical and manufacturing concepts

  • Ability to interpret technical data and explain it clearly to non-domain teams

  • Experience with reviewing, validating, or tagging data

Nice to Have

  • Experience working with Engineering design docs, BOM, PLM Software and CAD models

  • Experience working with data, analytics, or AI teams

  • Exposure to quality, process, or documentation-heavy projects

  • Familiarity with tools used for tagging or reviewing data

What We’re Looking For

  • Strong domain fundamentals with a practical mindset

  • Ability to make judgment calls on data relevance

  • Good communication and collaboration skills

Comfortable working in a fast-moving startup environment

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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