AWS Sagemaker SME - Saxon Global : Job Details

AWS Sagemaker SME

Saxon Global

Job Location : Farmington,CT, USA

Posted on : 2025-01-15T07:36:24Z

Job Description :
Role: AWS Sagemaker SME Location: Farmington, CT 3 Days Hybrid from Day 1Look for Local candidates. 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.
Apply Now!
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