Apply on Employer Site

Allstate · 4 hours ago

Applied Machine Learning Engineer Lead Consultant

United States

Full-time

Remote

Mid, Senior Level

$142K/yr - $219K/yr

3+ years exp

Allstate is a company dedicated to protecting families and their belongings through innovative solutions. They are seeking a Lead Consultant in Applied Machine Learning to contribute to the development of AI-driven applications and solutions, leveraging advanced algorithms and technologies in a hands-on role.

BankingFinanceFinancial ServicesInsuranceInsurTechVenture Capital

No H1B

Responsibilities

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

Implement CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes)

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

Qualification

Java Spring BootPythonGenerative AIMicroservices ArchitectureDockerKubernetesCI/CD PipelinesRESTful APIsDebuggingNatural Language ProcessingMachine LearningEthical AI PracticesProblem-Solving