Remote ML Engineer (PyTorch & C++) - High-Performance AI

BairesDev

Antioquia

Remote

COP 292.047.000 - 421.845.000

Vollzeit

vor 14 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

100% remote
USD or local currency pay
Home office setup
Flexible hours
Parental leave & holidays
Mentorship & growth

Zusammenfassung

BairesDev is seeking a Machine Learning Engineer to build and optimize high-performance deep learning solutions. You will design, train, and deploy models where speed and efficiency matter, using PyTorch and performance-oriented C/C++ code across production-ready pipelines.

This is a 100% remote role with flexible hours, excellent compensation in USD or your local currency, and a multicultural, mentorship-rich environment where you can grow alongside the world’s Top 1% of tech talent.

Qualifikationen

  • 4+ years of experience in machine learning engineering.
  • Proven expertise developing and training models with PyTorch.
  • Hands-on experience writing performance-oriented code in C or C++.
  • Solid knowledge of Python, numerical computing, and model deployment.
  • Advanced proficiency in English.

Aufgaben

  • Build and train deep learning models for demanding applications.
  • Optimize model inference for latency and resource use.
  • Implement performance-critical components in low-level code.
  • Prepare and validate training data and experiments.
  • Package and deploy models into production systems.
  • Benchmark results and document findings for the team.

Kenntnisse

PyTorch
C/C++
Python
Model deployment
English

Jobbeschreibung

BairesDev is seeking a Machine Learning Engineer to build and optimize high-performance deep learning solutions. You will design, train, and deploy models where speed and efficiency matter, using PyTorch and performance-oriented C/C++ code across production-ready pipelines.

This is a 100% remote role with flexible hours, excellent compensation in USD or your local currency, and a multicultural, mentorship-rich environment where you can grow alongside the world’s Top 1% of tech talent.

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