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DataFactZ

Sr Machine Learning Engineer With Aws Sagemaker

Company: DataFactZ

Location: Charlotte, NC

Posted on: April 19

Job Role: Senior Machine Learning Engineer

Location onsite (4-5 days) Charlotte

Type: Any visa type

Duration: 6+ months

Please share the resumes to [email protected]

For the client, we need a Senior Machine Learning Engineer with deep, hands-on experience delivering end-to-end ML solutions, including model design, optimization, deployment, and automation using AWS SageMaker.

Key Responsibilities:

  • Build and deploy scalable ML models to solve real-world business problems
  • Own the full ML lifecycle: data exploration, feature engineering, model prototyping, validation, and productionization
  • Optimize and automate workflows using best practices and MLOps principles
  • Collaborate cross-functionally with data scientists, engineers, and business stakeholders
  • Translate complex ML concepts into clear, actionable insights
  • Mentor team members and guide best practices across projects

Requirements:

  • Expert in Python, SQL, and modern ML toolkits (e.g., scikit-learn, XGBoost)
  • Extensive hands-on experience with AWS SageMaker (training, tuning, endpoints, pipelines)
  • Strong understanding of model evaluation, tuning, and production deployment
  • Proven ability to work across large, complex datasets and cloud-based infrastructures
  • Bonus: Familiarity with Spark, Hive, and data governance frameworks

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