Cloud Platform Engineer Senior Consultant I
Quick Summary
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years,
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Exp- 5 to 8Yrs
Location- Bangalore, Pune
Work from Office (Hybrid)
Shift Time- 1Pm to 9.30Pm
Responsibilities
~2 min read- →
Serve as the technical lead for ML platform architecture, guiding system design, scalability, performance, and reliability across platform components.
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Architect and build core ML platform services, including training and compute infrastructure, feature stores, model registries, inference runtimes, and data pipelines.
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Drive architectural decisions for distributed systems, cloud‑native frameworks, and automated MLOps workflows that support enterprise-scale machine learning.
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Evaluate and integrate emerging ML platform technologies, tools, and best practices to continuously strengthen platform capabilities.
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Design and implement robust MLOps pipelines for experiment tracking, data and model versioning, CI/CD for ML, automated retraining, and model governance.
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Develop automated workflows that ensure reproducible model training, validation, deployment, and lifecycle management across multiple environments.
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Implement monitoring and observability systems for model performance, data quality, drift detection, and inference reliability.
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Build and optimize cloud-based ML infrastructure on Azure, AWS, or GCP using Kubernetes, containerization, and infrastructure‑as‑code.
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Develop scalable batch and streaming data pipelines using modern data engineering tools and frameworks.
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Embed security, compliance, responsible AI principles, and cost optimization best practices within ML platform architecture and operations.
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Collaborate with data scientists to translate modeling needs into scalable, reusable, and self-service platform capabilities.
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Work closely with security, compliance, and governance teams to ensure safe and compliant deployment of AI/ML solutions.
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Partner with application engineering teams to accelerate adoption of ML services and enable consistent, high-quality production deployments.
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Provide technical mentorship, set engineering standards, and contribute to documentation, best practices, and ongoing platform improvements.
• This job does not have supervisory duties.
• 4 year Bachelors Degree (Preferred)
• 5 or more years of experience (Preferred)
• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.
The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition.
Learn more about Allstate India here.
Location & Eligibility
Listing Details
- Posted
- July 7, 2026
- First seen
- July 7, 2026
- Last seen
- July 7, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- July 7, 2026
Signal breakdown
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