Description

You will build and maintain end-to-end machine learning pipelines, focusing on mathematical optimization and neural network modeling within the AWS cloud ecosystem.

This role is remote.

Responsibilities

• Build and manage data lifecycles, from ingesting disparate sources to feature engineering and model inference.
• Develop and refine optimization models and neural networks to deliver high-impact inferences.
• Design and maintain serverless and containerized workflows using AWS services.
• Write production-grade Python code, ensuring scalability and performance across the ML lifecycle.

Required Skills

• Expert-level Python development with standard data science libraries.
• Deep experience with AWS Lambda, Step Functions, and EventBridge for serverless automation.
• Proficiency in AWS infrastructure including IAM, S3, and ECS/Elastic Containers.
• Proven track record in mathematical optimization or neural network development.
• Experience building and automating SageMaker Pipelines.
• Ability to wrangle messy data and perform sophisticated feature engineering.

Preferred Skills

• Direct experience with operations research or complex optimization algorithms.

Key Skills

Education

Any Graduate