Machine Learning Engineer - AI (Remote)

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

• Role: Machine Learning Engineer - AI (Remote)
• Location: Remote (Work from Anywhere)

Role Overview:

We are hiring for one of our clients, seeking a Machine Learning Engineer to design, build, and deploy AI models that drive business decisions. The role involves developing scalable machine learning pipelines and collaborating with cross-functional teams to integrate models into production systems. Responsibilities include optimizing model performance, ensuring data quality, and maintaining model governance.

Key Responsibilities:

• 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.

Required Skills & Qualifications:

• Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of cloud platforms (e.g., AWS, GCP, or Azure) for ML deployment.
• Familiarity with MLOps practices and CI/CD pipelines for model deployment.
• Strong problem-solving skills and ability to work in a fast-paced environment.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to cutting-edge AI solutions that enhance operational efficiency. The contract includes flexibility to work across time zones and access to advanced tools for model development.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.