Senior Cloud Platform Engineer

Allstate

Machine Learning Platform Lead Engineer at Allstate architecting, building, and scaling enterprise-wide ML platforms. Leading technical efforts and collaborating with cross-functional teams to enhance ML adoption.

Posted 6/16/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesTerraform

About the role

Key responsibilities & impact

Serve as the technical lead for ML platform architecture, guiding system design, scalability, performance, and reliability across platform components.
Architect and build core ML platform services, including training and compute infrastructure, feature stores, model registries, inference runtimes, and data pipelines.
Drive architectural decisions for distributed systems, cloud‑native frameworks, and automated MLOps workflows that support enterprise-scale machine learning.
Evaluate and integrate emerging ML platform technologies, tools, and best practices to continuously strengthen platform capabilities.
Design and implement robust MLOps pipelines for experiment tracking, data and model versioning, CI/CD for ML, automated retraining, and model governance.
Develop automated workflows that ensure reproducible model training, validation, deployment, and lifecycle management across multiple environments.
Implement monitoring and observability systems for model performance, data quality, drift detection, and inference reliability.
Build and optimize cloud-based ML infrastructure on Azure, AWS, or GCP using Kubernetes, containerization, and infrastructure‑as‑code.
Develop scalable batch and streaming data pipelines using modern data engineering tools and frameworks.
Embed security, compliance, responsible AI principles, and cost optimization best practices within ML platform architecture and operations.
Collaborate with data scientists to translate modeling needs into scalable, reusable, and self-service platform capabilities.

Requirements

What you’ll need

5 or more years of experience (Preferred)
4 year Bachelors Degree (Preferred)
Amazon Web Services (AWS)
DevOps
GCP Dataflow
Machine Learning (ML)
Microsoft Azure
Terraform (Software)

Benefits

Comp & perks

Health insurance
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningMLOpsdata pipelinescloud-native frameworksdistributed systemsCI/CD for MLmodel governanceinfrastructure-as-codedata versioningmodel performance monitoring