AWS Machine Learning Engineer for Model Design and Deployment

Enhance AWS environments as a Machine Learning Engineer specializing in SageMaker and Lambda. Design, build, and deploy advanced ML models with a focus on performance and scalability.

This role involves creating robust ML pipelines for preprocessing, training, and inference on AWS. You will collaborate with cross-functional teams, utilizing tools like Glue and S3 in an Agile setting. Your expertise will ensure effective integration of machine learning models with cloud applications and optimize resource usage.

Key Responsibilities:

• Design and deploy ML models on AWS
• Build preprocessing and training pipelines for data
• Integrate ML applications using APIs and cloud services
• Optimize model performance and cost on AWS
• Collaborate in Agile with data and DevOps teams

Requirements

• Proficient in AWS SageMaker, Glue, S3, Lambda
• Experience designing ML pipelines and deploying models
• Strong background in cloud service integration
• Familiarity with Agile delivery methodologies
• Technical skills in monitoring and model optimization

Drive machine learning initiatives by designing scalable models while effectively collaborating in an Agile environment.

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