✦ Luna Orbit — AI & Machine Learning

Machine Learning Engineer - 328057

at W.W. Grainger

📍 LAKE FOREST, IL, US, 60045-5201 Hybrid 💰 $110K – $184K USD / year Posted March 13, 2026
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Position Details

Salary $110K – $184K USD / year
Type Full-Time
Experience mid
Exp. Years 2+ years
Education Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Data Science, or related field
Category AI & Machine Learning

About this role

A role focused on designing and deploying scalable machine learning data pipelines and models in a hybrid cloud environment, primarily using AWS and Spark technologies.

Key Responsibilities

  • Design distributed data pipelines
  • Develop ML models for real-time inference
  • Construct CI/CD pipelines for ML infrastructure
  • Integrate workflows with Kafka and AWS services
  • Automate model deployment and lifecycle

Technical Overview

Environment includes Apache Spark, Databricks, AWS SageMaker, Kafka, Lambda, Step Functions, with emphasis on cloud-based ML deployment, real-time inference, and CI/CD automation.

Ideal Candidate

The ideal candidate is a mid-level machine learning engineer with at least 2 years of experience designing distributed data pipelines and deploying ML models in cloud environments, particularly AWS. Strong skills in Spark, Databricks, and real-time data processing are essential.

Must-Have Skills

Design and implement distributed data pipelines using Apache Spark and DatabricksDevelop and deploy machine learning models using Amazon SageMakerConstruct and manage CI/CD pipelines with ArgoCDHelmGitHub ActionsIntegrate and orchestrate workflows with Apache KafkaAWS LambdaStep Functions

Nice-to-Have Skills

ContainerizationBring-your-own-container (BYOC)Endpoint optimization

Tools & Platforms

Apache SparkDatabricksAmazon SageMakerArgoCDHelmGitHub ActionsApache KafkaAWS LambdaStep Functions

Required Skills

Apache SparkDatabricksMachine LearningAmazon SageMakerContainerized servicesCI/CD pipelinesArgoCDHelmGitHub ActionsApache KafkaAWS LambdaStep Functions

Hard Skills

Apache SparkDatabricksMachine LearningAmazon SageMakerContainerized servicesCI/CD pipelinesArgoCDHelmGitHub ActionsApache KafkaAWS LambdaStep Functions

Soft Skills

CommunicationProblem-solvingCollaborationTechnical documentationTeamwork

Industry & Role

Industry Manufacturing / Distribution / Technology
Job Function Developing and deploying scalable machine learning data pipelines and models

Keywords for Your Resume

Machine LearningApache SparkDatabricksAmazon SageMakerContainerized servicesCI/CD pipelinesArgoCDHelmGitHub ActionsApache KafkaAWS LambdaStep FunctionsDistributed data pipelinesReal-time inferenceBring-your-own-containerModel deployment

Deal Breakers

Lack of experience with Apache Spark or Databricks, No cloud ML deployment experience, Bachelor's degree not in relevant field

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