Data Scientist - AI/ML (Remote)
Pubblicato il 23-09-2026 - Quik Hire Staffing in Piemonte
- Role: Data Scientist - AI/ML (Remote)
- Location: Remote (Work from Anywhere)
Role Overview:
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. xysqume
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