AWS ML Engineer — End-to-End Predictive Analytics

ConfigUSA; Seattle (WA); On-site; USD 100,000 - 130,000; Part time

Job summary

A technology consulting firm in Seattle is seeking a skilled AWS ML Engineer to join their team. The candidate will leverage AWS services to build predictive models and scalable machine learning solutions. Key responsibilities include data analysis, model training, and deployment using AWS tools. This is a mid-senior level contract position, ideal for those with a strong background in machine learning and data science.

Qualifications

• Solid background in statistical analysis, machine learning and data science.
• Hands-on experience with AWS tools for model deployment and data processing.

Responsibilities

• Analyze large, complex datasets to extract meaningful insights.
• Perform exploratory data analysis using AWS tools.
• Build, train, and evaluate machine learning models using AWS services.
• Work with AWS Glue and Redshift for data preprocessing.
• Develop end-to-end machine learning pipelines on AWS.
• Deploy models to production and set up monitoring systems.
• Document models, processes, and findings for clear communication.

Skills

AWS SageMaker

Data Analysis

Machine Learning

Statistical Analysis

AWS Glue

AWS Lambda

ETL

Tools

TensorFlow

AWS Textract

AWS Comprehend

AWS Redshift

AWS S3

Job description

A technology consulting firm in Seattle is seeking a skilled AWS ML Engineer to join their team. The candidate will leverage AWS services to build predictive models and scalable machine learning solutions. Key responsibilities include data analysis, model training, and deployment using AWS tools. This is a mid-senior level contract position, ideal for those with a strong background in machine learning and data science.