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Vinpro

For AI and data leaders in retail and consumer brands

AI engineers who’ve shipped to production, not just demos.

Contract AI architects, GenAI engineers, ML and data engineers. Screened by practitioners who have delivered AI for global consumer brands. Usually 3 vetted profiles within 48 hours.

Send an AI roleTalk it through first

Roles we fill

The AI and data team, role by role

  • AI and ML architects

    Design AI platforms, choose models and vendors, set guardrails and cost controls.

  • GenAI and LLM engineers

    RAG, agents, copilots and content generation, built and evaluated properly.

  • ML engineers and MLOps

    Take models from notebook to production, with monitoring and retraining.

  • Data engineers

    The pipelines and platforms AI depends on: Azure, Databricks, Snowflake, GCP.

  • Data scientists

    Forecasting, pricing, propensity and experimentation for commercial teams.

  • AI delivery leads

    Programme and product managers who've run AI work with real business owners.

Applied AI in retail

We know where AI meets the commerce stack

Most AI in retail and consumer brands sits next to e-commerce, CRM and marketing systems. We've delivered on both sides, so we screen for people who can connect them.

  • Personalisation and recommendations
  • Search and merchandising
  • GenAI content and marketing
  • Demand and trend forecasting
  • Conversational analytics
  • Customer data platforms

How we screen AI talent

Four questions every AI candidate must answer well

  1. 01

    What reached production?

    Real users, real data, real constraints. Not just a proof of concept.

  2. 02

    How did you measure it?

    Evaluation, accuracy and business impact, not just "it worked".

  3. 03

    What about the data?

    Pipelines, quality and governance: the part most AI projects stumble on.

  4. 04

    Cost, risk and people?

    Running costs, responsible AI, and working with non-technical owners.

Our own AI delivery

Vinpro has delivered AI for global consumer brands

  • AI trend engine

    Combined Google, TikTok, Meta and Pinterest data to spot food trends by location and season for global food brands.

  • GenAI for marketing teams

    Delivered a GenAI influencer briefing tool and an AI modular content system used across global markets.

  • AI asset tagging

    Integrated Gemini with Sitecore to tag marketing assets automatically and improve metadata quality.

Hiring for an AI or data role?

Send it today and see 3 vetted profiles, usually within 48 hours.

Send an AI roleEmail us