Allstate
AI

Applied Machine Learning Engineer Expert

Allstate · · $160k

Actively hiring Posted about 1 month ago

Role overview

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.

Job Description
This expert role will be responsible for multiple major technical aspects and forward engineering in the field of machine learning, information retrieval, artificial intelligence, natural language processing, and ontology engineering technologies. Plays a key role in the vision and realization of cutting-edge technical capabilities into business applications and solutions.

About The Role
We are looking for a Generative AI Software Engineer to join our team and help build next-generation AI-driven solutions. This role blends traditional Software engineering with cutting-edge AI integration, enabling innovative digital products and services. You will work closely with cross-functional teams to design, develop, and deploy secure, scalable applications and integrate advanced AI models into production environments.

This position is open at multiple levels including Senior Consultant, Lead and Expert levels.

What you'll work on

  • 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.

What we're looking for

  • 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.

Tags & focus areas

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Fulltime Ai Machine Learning Nlp Generative Ai