AWS Sagemaker SME

3 weeks ago


Farmington CT United States Quantum Integrators Full time

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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