Machine Learning Engineer (Remote)

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

• 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 basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.

Key Responsibilities:

• Design and implement machine learning models using Python, TensorFlow, or PyTorch to address specific business problems.
• Collaborate with data scientists and software engineers to deploy models into production environments.
• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.
• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.
• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.

Required Skills & Qualifications:

• Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
• Strong background in data structures, algorithms, and statistical modeling techniques.
• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.
• Knowledge of SQL and databases for data extraction and preprocessing tasks.
• Familiarity with version control systems (e.g., Git) and collaborative development workflows.
• Understanding of MLOps practices for model monitoring, logging, and continuous integration.
• Experience with hyperparameter tuning and model optimization techniques.
• Ability to work independently and manage multiple tasks in a fast-paced environment.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.

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.