Remote ML Engineer — AI Pipelines & MLOps

Hire Feed; L'Aquila; Remoto; EUR 97.000 - 132.000; Tempo pieno

Descrizione del lavoro

Hire Feed is seeking a Machine Learning Engineer to design, build, and deploy AI models that drive business decisions. This remote role offers opportunities to work with cross-functional teams across time zones and leverage advanced tools for model development.

The role focuses on scalable ML pipelines, model governance, and delivering production-ready models to support data-driven decisions in a fast-paced environment.

Competenze

• Proficient in Python and ML frameworks (TensorFlow or PyTorch).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Experience deploying ML models on cloud platforms (AWS, GCP, or Azure) and MLOps.

Mansioni

• Design, train, and deploy machine learning models to solve complex business problems.
• Develop and maintain scalable ML pipelines for end-to-end model lifecycle management.
• Collaborate with data engineers and software developers to integrate models into production systems.
• Monitor model performance, troubleshoot issues, and implement improvements.
• Ensure compliance with data governance and security standards in model development.

Conoscenze

Python

TensorFlow

PyTorch

Data preprocessing

Feature engineering

Model evaluation

MLOps

CI/CD pipelines

Strumenti

AWS

GCP

Azure

Descrizione del lavoro

Hire Feed is seeking a Machine Learning Engineer to design, build, and deploy AI models that drive business decisions. This remote role offers opportunities to work with cross-functional teams across time zones and leverage advanced tools for model development.

The role focuses on scalable ML pipelines, model governance, and delivering production-ready models to support data-driven decisions in a fast-paced environment.