Remote Machine Learning Engineer - Build Scalable AI

Quik Hire Staffing; France; À distance; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Quik Hire Staffing is seeking a Machine Learning Engineer for a remote, full-time role. You will design, develop, and deploy ML models to tackle complex business challenges, collaborating with cross-functional teams to integrate AI solutions into existing systems.

The ideal candidate will have strong Python skills, experience with TensorFlow or PyTorch, and a solid background in ML, data processing, and cloud-based deployment. A fast-paced, independent work style will thrive in this environment.

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow or PyTorch).
• Strong background in data structures, algorithms, and statistics.
• Experience deploying ML models on cloud platforms (AWS/GCP/Azure).
• SQL and data preprocessing experience.
• Version control with Git and collaborative workflows.
• Understanding of MLOps for monitoring, logging, CI/CD.
• Experience with hyperparameter tuning and model optimization.
• Ability to work independently in a fast-paced environment.

Responsabilités

• Design and implement ML models using Python and frameworks to solve business problems.
• Collaborate with data scientists and software engineers to deploy models to production.
• Optimize models for scalability, accuracy, and efficiency in real-world applications.
• Develop and maintain data preprocessing, feature engineering, and model training pipelines.
• Conduct experiments to evaluate model performance and iterate improvements.

Connaissances

Python

SQL

Git

MLOps

Statistics & modeling

Data structures & algorithms

Cloud platforms

Hyperparameter tuning

Independent work

Outils

TensorFlow

PyTorch

AWS

Google Cloud

Azure

Description du poste

Quik Hire Staffing is seeking a Machine Learning Engineer for a remote, full-time role. You will design, develop, and deploy ML models to tackle complex business challenges, collaborating with cross-functional teams to integrate AI solutions into existing systems.

The ideal candidate will have strong Python skills, experience with TensorFlow or PyTorch, and a solid background in ML, data processing, and cloud-based deployment. A fast-paced, independent work style will thrive in this environment.