Senior AWS ML Engineer Specializing in ML Pipeline Development
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Job Description
Excel as an AWS ML Engineer by leading sophisticated machine learning projects. Utilize cutting-edge tools like SageMaker, Glue, S3, and Lambda to design and implement efficient ML models and pipelines.
In this critical position, you will be responsible for developing comprehensive workflows that facilitate data preprocessing, training, and monitoring of ML models. Your role involves ensuring high performance, scalability, and integration with applications through APIs within an Agile team environment.
Key Responsibilities:
- Design and build ML pipelines on AWS platforms
- Develop workflows using SageMaker, Glue, S3, and Lambda
- Optimize pipelines for data preprocessing and monitoring
- Collaborate on ML model integration with applications
- Enhance model performance and cost-effectiveness on AWS
Requirements
- Experience with key AWS services: SageMaker, Glue, S3, Lambda
- Proven track record in ML model and pipeline development
- Agile collaboration skills with cross-functional teams
- Familiarity with cost and performance optimization strategies
- Strong background in API integration
Leverage your AWS acumen to develop ground-breaking ML solutions and drive innovation in machine learning practices.
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