Applied Machine Learning Engineer

3 days ago

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Allstate

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Insurance • Finance • Non-profit

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.

10,000+ employees

Founded 1931

💸 Finance

🤝 Non-profit

💰 Post-IPO Equity on 2014-01

📋 Description

• Build secure, scalable, and high-performance microservices and applications using Java Spring Boot / Python. • Design and maintain RESTful APIs and microservices architecture with asynchronous processing. • Deploy and manage applications on cloud platforms, preferably Microsoft Azure. • Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain ) into production environments. • Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. • Work with embedding models, vector databases, and prompt engineering techniques. • Explore multi-modal AI systems and agentic AI frameworks for advanced capabilities. • Leverage tools like GitHub Copilot and agentic AI for code reviews, unit testing, and pull requests. • Leverage APM tools like DataDog to enhance Observability posture for your application. • Collaborate with platform consultants, product engineers, and digital product managers to integrate AI solutions. • Implement best practices for model deployment, scaling, versioning, and monitoring. • Develop and maintain scalable data pipelines for ingestion, processing, and feature engineering. • Ensure compliance with ethical AI standards and data governance as per Allstate standards.

🎯 Requirements

• Minimum of 3+ years of backend development experience using Java Spring Boot / Python. • Minimum of 3+ years working with RESTful APIs, microservices architecture, and asynchronous processing. • Minimum of 1 years’ experience working with Generative AI APIs and/or open-source models. • Additional Skills Required for Lead and Expert Levels • Minimum of 4 + years of backend development experience using Java Spring Boot / Python. • Minimum of 4 + years working with RESTful APIs, microservices architecture, and asynchronous processing. • Minimum of 1 years’ experience in LangChain , LLM orchestration, and prompt engineering. • Exposure to multi-modal AI systems and agentic AI frameworks. • Experience with MLOps workflows and cloud deployment (Azure/AI Foundry preferred). • Strong problem-solving and debugging skills. • Knowledge of ethical AI practices and compliance frameworks. • Familiarity with data preprocessing, token management, and embedding generation.