Senior Machine Learning Engineer (Remote)

Hire Feed; Napoli; Remoto; EUR 106.000 - 158.000; Tempo pieno

Descrizione del lavoro

Hire Feed is seeking a Senior Machine Learning Engineer to design, develop, and deploy ML models in a remote, full-time role. You will collaborate with cross-functional teams to integrate AI solutions into production systems.

The ideal candidate has deep experience with Python and ML frameworks, data preprocessing, and cloud deployment, with a focus on scalable pipelines, performance optimization, and MLOps practices.

Competenze

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

Mansioni

• Design and implement machine learning models using Python, TensorFlow, and PyTorch.
• Develop scalable data pipelines to support model training and inference.
• Optimize models for performance, accuracy, and latency in production environments.
• Collaborate with software engineers to deploy models as APIs or microservices.
• Monitor model performance and retrain systems as needed to maintain accuracy.

Conoscenze

Python

TensorFlow

PyTorch

Data preprocessing

Feature engineering

Model evaluation

Cloud platforms (AWS/GCP/Azure)

MLOps / CI-CD

Descrizione del lavoro

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

Role Overview:

We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a Full-time mbasis. The role involves designing, developing, and deploying machine learning models to solve complex problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems.

Key Responsibilities:

• Design and implement machine learning models using Python, TensorFlow, and PyTorch.
• Develop scalable data pipelines to support model training and inference.
• Optimize models for performance, accuracy, and latency in production environments.
• Collaborate with software engineers to deploy models as APIs or microservices.
• Monitor model performance and retrain systems as needed to maintain accuracy.

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 including AWS, GCP, or Azure for model deployment.
• Familiarity with MLOps practices, including CI/CD for machine learning workflows.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative 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 the development of cutting-edge AI solutions. You will have the chance to influence high-impact projects that drive innovation.

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.