Lead Consultant – Machine Learning Platform

🔥 1 minute ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $110k - $181k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Allstate

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1931

💼 Consulting

📦 Logistics

🛡️ Insurance

💰 Post-IPO Equity on 2014-01

Consulting • Logistics • Insurance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• Serve as the technical lead for ML platform architecture, guiding system design, scalability, performance, and reliability • Architect and build 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 • Evaluate and integrate emerging ML platform technologies, tools, and best practices • Design and implement MLOps pipelines for experiment tracking, data and model versioning, CI/CD for ML, automated retraining, and model governance • Develop automated workflows for reproducible model training, validation, deployment, and lifecycle management • Implement monitoring and observability for model performance, data quality, drift detection, and inference reliability • Build and optimize cloud-based ML infrastructure using Kubernetes, containerization, and infrastructure-as-code • Develop scalable batch and streaming data pipelines • Embed security, compliance, responsible AI, and cost optimization practices in platform architecture and operations • Collaborate with data scientists to create scalable, reusable, and self-service platform capabilities • Work with security, compliance, and governance teams on safe and compliant AI/ML deployment • Partner with application engineering teams to accelerate ML service adoption and production deployments • Provide technical mentorship, set engineering standards, and contribute to documentation and platform improvements

🎯 Requirements

• Extensive experience in ML engineering, platform engineering, or large-scale distributed systems • Deep hands-on expertise with MLOps tools, ML frameworks, model deployment techniques, and ML lifecycle automation • Strong proficiency in Python and backend development for machine learning systems • Experience with Azure ML Studio, AWS SageMaker, and/or Google Vertex AI • Exposure to Azure Fabric/OneLake, AWS S3, and Google Cloud Storage (GCS) • Experience with cloud-native scanning and security tools such as Azure Defender, Microsoft Purview, AWS Security Hub, Amazon Inspector, GCP Security Command Center, or equivalent services • Strong understanding of Kubernetes, Docker, CI/CD, Terraform/Infrastructure-as-Code, and related technologies • Solid knowledge of system design, APIs, data pipelines, and scalable ML infrastructure patterns • Proven ability to lead technical initiatives and influence cross-team engineering decisions • 6+ years of progressive related experience • Required to submit to a background investigation • Must have a dedicated, private workspace free from distractions, appropriate desk and seating, and reliable internet with minimum speeds of 50 MB download and 5 MB upload • Allstate generally does not sponsor individuals for employment-based visas for this position

🏖️ Benefits

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement for eligible employees working from home

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