✦ Luna Orbit — AI & Machine Learning

Machine Learning Platform Engineer

at Allstate

📍 2 Locations Hybrid 💰 $90K – $135K USD / year Posted March 18, 2026
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Position Details

Salary $90K – $135K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

About this role

This role involves designing and building scalable machine learning platforms, focusing on cloud-native infrastructure, MLOps, and automation to support enterprise AI initiatives.

Key Responsibilities

  • Design, build, and operate ML platform components
  • Develop cloud-native systems
  • Implement MLOps capabilities
  • Build data pipelines
  • Collaborate with data scientists

Technical Overview

The technical environment includes cloud platforms (Azure, AWS, GCP), Kubernetes, container orchestration, CI/CD pipelines, and data pipelines for ML model deployment and monitoring.

Ideal Candidate

The ideal candidate is a mid-level AI/ML engineer with experience designing and deploying scalable machine learning platforms across cloud providers. They should have strong skills in MLOps, cloud infrastructure, and container orchestration, with a collaborative mindset.

Must-Have Skills

Designbuildand operate scalable ML platform componentsDevelop cloud-nativedistributed systemsImplement MLOps capabilitiesBuild scalable data pipelinesWork with cloud providers (AzureAWSGCP)

Nice-to-Have Skills

experience with model lifecycle managementexperience with model evaluation and monitoringsecurity and compliance in ML environmentscost management in cloud environmentsexperience with self-service platform development

Tools & Platforms

KubernetesAzureAmazon Web ServicesGoogle Cloud PlatformCI/CD tools

Required Skills

Designbuildand operate scalable ML platform componentsdevelop cloud-nativedistributed systemsimplement MLOps capabilitiesbuild scalable data pipelineswork with cloud providers (AzureAWSGCP)

Hard Skills

Machine LearningMLopscloud-native infrastructureKubernetescontainer orchestrationCI/CD pipelinesmodel lifecycle automationmodel deploymentAzureAmazon Web ServicesGoogle Cloud Platforminfrastructure as codedata pipelinesmodel monitoringmodel versioningobservability

Soft Skills

collaborationcommunicationautomationengineering excellenceproblem-solvingteamworkadaptability

Industry & Role

Industry Technology / Data Science / AI
Job Function Developing scalable ML infrastructure and platforms for enterprise AI deployment
Role Subtype AI & Machine Learning
Tech Domains Kubernetes, Azure, Amazon Web Services, Google Cloud Platform, infrastructure as code

Keywords for Your Resume

machine learningMLopscloud-native infrastructureKubernetescontainer orchestrationCI/CD pipelinesmodel lifecycle automationmodel deploymentAzureAmazon Web ServicesGoogle Cloud Platforminfrastructure as codedata pipelinesmodel monitoringmodel versioningobservabilitycloud infrastructureCI/CDAWSGCP

Deal Breakers

Lack of experience with cloud platforms (Azure, AWS, GCP), No experience with Kubernetes or container orchestration, No knowledge of MLOps or model lifecycle management

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