Data Scientist - AI/ML (Remote)
Summary: The Data Scientist - AI/ML role is a remote contract position focused on developing and deploying machine learning models to enhance predictive accuracy for client datasets. The position requires collaboration with cross-functional teams to identify data-driven solutions and automate workflows. Candidates will utilize their expertise in Python and machine learning frameworks to preprocess data and implement MLOps pipelines. This opportunity allows for significant exposure to advanced tools and collaboration with industry experts in a leading software development environment.
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.
Key Skills:
- 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.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role : Data Scientist - AI/ML (Remote)
Location : Remote (Work from Anywhere)
Job Type : Contract
Payout : $30 - $100/hour
Role Overview: We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract 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.
Apply Now!
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