Representative profile

Python / ML Engineer

P. R. · 6+ years · UTC+5:30 (IST)

Availability
Available now
Rate band
$ · $45 to $70 / hr
Experience
6+ years
Industries
Healthtech, SaaS
  • Python
  • PyTorch
  • FastAPI
  • AWS
  • Ships models to production, not just notebooks: training, serving, and monitoring
  • Comfortable across the data path, from ingestion pipelines to the API that serves predictions
  • Healthtech experience means real respect for data privacy and validation

This profile represents the applied ML shape teams actually need: an engineer who treats a model as one component of a working product, not the whole point.

Background

Six years in Python, split between data engineering and machine learning. Has built ingestion pipelines, trained and fine-tuned PyTorch models, and wrapped them in FastAPI services running on AWS. Most of that time was spent in healthtech and SaaS, where messy real-world data and strict handling requirements are the norm rather than the exception.

Strengths

  • Production ML. Knows the distance between a promising notebook and a served, monitored model, and how to cross it.
  • Data pipelines. Builds ingestion and transformation that keep working when the upstream source changes.
  • Evaluation discipline. Measures models against the business metric, not just a validation score.
  • Service craft. FastAPI services with proper typing, tests, and sensible latency budgets.

Typical engagement

Full time or substantial part time, often as the first ML hire alongside an existing product team. IST hours with reliable overlap into European mornings and US evenings by arrangement. Available now.

This is a representative sample of the vetted pool. Request it and we confirm real, current availability for a developer with this background.

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