Senior Time Series Modeling Expert
3 weeks ago
We are seeking a skilled Machine Learning Engineer with expertise in time series modeling and AWS cloud services for a contract role. The ideal candidate will have experience in building and deploying machine learning models to production using AWS SageMaker, as well as proficiency in MLflow or Metaflow for model management and deployment.
Key Responsibilities:
- Deploy machine learning models to production using AWS SageMaker.
- Build and maintain robust ML pipelines.
- Leverage MLflow or Metaflow for model management and deployment.
- Work with containerization technologies like Docker.
- Develop time series forecasting and predictive models.
Requirements:
- Strong experience deploying ML models to production, particularly with AWS SageMaker.
- Proven track record of building and maintaining ML pipelines.
- Familiarity with MLflow or Metaflow for model management and deployment.
- Experience with containerization technologies (e.g., Docker).
- Expertise in working with time series data and models.
- Proficiency with AWS CDK is essential.
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