Machine Learning Engineer

About The Job

We’re hiring a Fractional Machine Learning Engineer (Contractor) to help bring our MVP to life. You’ll architect and deploy the core ML infrastructure that powers our predictive insights engine—combining brand metadata, fashion imagery, and historical sales data.

This is a hands-on, short-term contract role ideal for someone who has shipped neural networks and database infrastructure to startup or production environments.

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What You'll Do

ML Pipeline Development:

• Deploy a neural network pipeline (internal or via API) to generate design and assortment recommendations.
• Build logic to calculate recommendation KPIs.
  

Data Architecture:

• Set up and configure NoSQL data infrastructure (e.g., Firebase or MongoDB).
• Advise on data structure best practices for analytics and ML scaling.

Computer Vision:

• Run images through a computer vision model to extract fashion features.
  

Historical Data Integration:

• Integrate outputs with brand-provided historical data.
• Support backend readiness for future forecasting, NPS proxying, and revenue optimization.

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Who You Are

• 3–5+ years of ML engineering or applied data science experience
• Strong Python skills with experience in TensorFlow or PyTorch
• Proficient with NoSQL DBs (e.g., Firestore, MongoDB)
• Experience deploying ML pipelines in production (vision models preferred)
• Bonus: fashion/e-comm experience or familiarity with KPI frameworks in recommendation systems

Bonus: fashion/e-comm experience or familiarity with KPI frameworks in recommendation systems

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How to Apply

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