Data Scientist - AI/ML (Remote)
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Key skills for this role
About the Role
Hire Feed is hiring a Data Scientist (ML) on a contract basis to develop and deploy machine learning models for client datasets. The role involves designing, training, and optimizing ML models, preprocessing large datasets, and implementing MLOps pipelines.
Key Skills for This Role
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
Requirements
- 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
Full Job Posting
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.
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