AWS Sagemaker SME
3 weeks ago
Position - AWS Sagemaker SME
Location - Farmington, CT
Duration - Long Term
Key Responsibilities:
- Pull and process data from Amazon S3 for analysis and modeling.
- Utilize Amazon SageMaker to build, train, and deploy machine learning models.
- Develop and maintain interactive web applications that allow you to create and share documents containing live code, equations, visualizations, and narrative text. for data exploration, preprocessing, and modeling.
- Collaborate with data engineers and other stakeholders to understand data requirements and ensure data quality.
- Implement best practices for version control, reproducibility, and documentation of modeling processes.
- Monitor and optimize model performance, ensuring they meet business objectives.
- Stay updated on the latest trends and technologies in machine learning and cloud computing.
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- Proven experience with Amazon SageMaker and AWS services, particularly S3.
- Strong proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn.
- Experience with Jupyter Notebooks for data analysis and modeling.
- Familiarity with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
- Excellent problem-solving skills and the ability to work independently and in a team environment.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Experience with data visualization tools (e.g., Matplotlib, Seaborn).
- Knowledge of containerization technologies (e.g., Docker) is a plus.
- Familiarity with CI/CD practices for machine learning.
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