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Hire ML engineers who own the path from training to production

PyTorch, TensorFlow, MLOps, and model monitoring — not just Kaggle notebooks that never leave a laptop.

The right fit

You have labeled data, a model that works in staging, and a gap before it runs reliably in prod. We place ML engineers who have shipped classification, forecasting, and vision models with retraining, drift detection, and sane rollback.

Typical stack

  • Python
  • PyTorch
  • TensorFlow
  • Hugging Face
  • MLOps
  • AWS SageMaker
  • MLflow

Starting rate: $500–$2,400/week

Full pricing details →

Sample vetted profiles

Anonymised previews — full profiles and interviews on a call. Every hire clears a live vetting process.

Senior AI Engineer

AI / ML · Senior

$700–$1,800/wk

Shipped LLM features for a 250K MAU consumer AI product. Strong on inference cost and eval pipelines.

  • Claude
  • Cursor
  • LangChain
  • OpenAI API
  • RAG
Timezone
EST (UTC-5)
Availability
Available in 1 week
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ML Pipeline Engineer

AI / ML · Lead

$900–$2,400/wk

Built training and deployment pipelines for computer vision and NLP products in production.

  • Python
  • Hugging Face
  • Gemini
  • MLOps
  • TensorFlow
Timezone
CET (UTC+1)
Availability
Available now
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Related client work

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Tell us your stack and timeline. We match within about a week — month-to-month, 30-day trial available.