Applied Machine Learning Engineer Senior Consultant II

About the position

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 We are seeking a highly skilled and versatile Senior Software Engineer with strong expertise in Python, AI/ML and Java Spring Boot technologies. The ideal candidate will design, develop, and deploy scalable applications, build intelligent solutions leveraging machine learning, and contribute to enterprise-grade platforms. Experience with cloud-native services on AWS or Azure is essential.

Responsibilities

• Design and develop microservices using Java Spring Boot.
• Build and maintain Python-based services for data processing and automation.
• Develop and integrate AI/ML models for predictive analytics, classification, and NLP use cases.
• Collaborate with cross-functional teams to define architecture and implement best practices.
• Optimize application performance and ensure security compliance.
• Design and deploy cloud-native applications using AWS or Azure services (e.g., Lambda, API Gateway, S3, Azure Functions, Event Hub).
• Work on containerization (Docker/Kubernetes) and orchestration for scalable deployments.
• Participate in code reviews, testing, and CI/CD pipelines.
• Document technical solutions and provide knowledge-sharing sessions.

Requirements

• Strong proficiency in Java Spring Boot and RESTful API development.
• Hands-on experience with Python for scripting, automation, and ML workflows.
• Solid understanding of AI/ML concepts (classification, regression, NLP, model deployment).
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proven experience with AWS or Azure cloud-native services.
• Familiarity with DevOps tools and CI/CD pipelines.
• Knowledge of SQL/NoSQL databases.
• Excellent problem-solving and communication skills.

Nice-to-haves

• Experience with LangChain, LLM-based solutions, or prompt engineering.
• Exposure to data engineering and ETL pipelines.