Data Scientist - AI/ML (Remote)

Quik Hire Staffing; Italia; Remote; EUR 45,000 - 65,000; Full time

Job summary

Quik Hire Staffing is seeking a Data Scientist (ML) on a full-time basis to develop and deploy machine learning models that improve predictive accuracy on client datasets. You will collaborate with cross-functional teams to automate workflows and deliver data-driven solutions.

The role emphasizes Python, Jupyter notebooks, and experience with ML libraries, SQL, and cloud deployment. A remote-friendly environment with minimal supervision is offered, with exposure to AI-driven solutions in a

Qualifications

• Proficiency in Python and libraries such as scikit-learn, TensorFlow or PyTorch.
• Experience with SQL for data extraction, transformation and analysis.
• Strong background in statistical modeling and experimental design.
• Familiarity with cloud platforms for model deployment (AWS/GCP/Azure).
• Ability to work independently in a remote environment with minimal supervision.

Responsibilities

• Design, train, and optimize ML models for classification, regression, and clustering.
• Preprocess and analyze large-scale structured and unstructured datasets.
• Implement and maintain MLOps pipelines for deployment, monitoring and retraining.
• Develop reproducible experiments using Python, Jupyter notebooks, and version control.
• Present findings to stakeholders with clear visualizations and reports.

Skills

Python

scikit-learn

TensorFlow

PyTorch

SQL

Statistical modeling

Experimental design

AWS

GCP

Azure

Tools

Jupyter notebooks

Version control

Job description

We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a Full-Time basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.

Key Responsibilities

• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.
• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.
• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.
• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.
• Present findings and recommendations to stakeholders through clear visualizations and technical reports.

Required Skills & Qualifications

• Proficiency in Python and relevant libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience with SQL for data extraction, transformation, and analysis.
• Strong background in statistical modeling and experimental design.
• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.
• Ability to work independently in a remote environment with minimal supervision.

More About the Opportunity

This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.

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.