Remote AI Engineer — Build & Deploy ML Solutions

Hyre; Buenos Aires; Híbrido; ARS 135.601.000 - 195.869.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Performance-based raises

5+ days off per year

Annual cost-of-living adjustments

Descripción de la vacante

Hyre is seeking an AI Developer to design, build, and deploy AI/ML solutions remotely. The role emphasizes bridging data and production features, collaborating with engineering and product teams.

The candidate should bring 3–5+ years of software experience focused on AI/ML, with hands-on expertise in PyTorch/TensorFlow/Scikit-learn/Keras and cloud-based deployment. A strong math background and self-motivated approach are essential for this fully remote position.

Formación

• 3–5+ years of professional software engineering experience with a focus on AI/ML.
• Hands-on with PyTorch, TensorFlow, Scikit-learn, or Keras.
• Experience deploying models on AWS, Google Cloud, or Azure and MLOps practices.
• Strong math, statistics, and algorithmic skills, capable of bridging from concept to deployment.
• Dedicated, noise-free remote home office with reliable internet.

Responsabilidades

• Design, train, and implement ML models and AI algorithms for business needs.
• Build and optimize data pipelines for data gathering, cleaning, preprocessing.
• Integrate models and third-party AI APIs into software applications.
• Deploy AI models into production with scalability and reliability.
• Monitor model performance, retrain as needed to maintain accuracy and reduce bias.

Conocimientos

PyTorch

TensorFlow

Scikit-learn

Keras

ML algorithms

Model deployment

Herramientas

AWS

Google Cloud

Azure

Descripción del empleo

Hyre is seeking an AI Developer to design, build, and deploy AI/ML solutions remotely. The role emphasizes bridging data and production features, collaborating with engineering and product teams.

The candidate should bring 3–5+ years of software experience focused on AI/ML, with hands-on expertise in PyTorch/TensorFlow/Scikit-learn/Keras and cloud-based deployment. A strong math background and self-motivated approach are essential for this fully remote position.