AWS Sagemaker SME

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.