AI/ML Software Engineer

Quick Facts

• Role: AI/ML Software Engineer

• Focus: Insurance applications using ML/AI, including generative models, deployed on AWS

Description

Join a team responsible for designing, building, and maintaining modern insurance applications. The project combines machine learning (including generative models) with AWS cloud services and a microservices architecture. You’ll implement and integrate ML/AI capabilities into production systems while supporting code quality and delivery processes.

Responsibilities

• Design, implement, and maintain insurance applications aligned with business requirements and technical standards

• Build, train, and deploy ML/AI models

• Work with AWS cloud services (Amazon SageMaker, AWS Bedrock) and container environments (ECS/EKS)

• Integrate systems and build REST interfaces using FastAPI and Web Services, with Swagger UI documentation

• Maintain code quality and CI/CD processes using Git, SonarQube, and Bamboo

• Collaborate with the team using Agile methodology

Requirements

• Minimum 3 years of commercial experience on production ML/AI projects

• Very strong Python knowledge

• Practical experience with PyTorch and/or TensorFlow and MLOps

• Experience with AWS Cloud, especially SageMaker, Bedrock, and ECS/EKS

• Experience designing IT solutions and knowledge of software design patterns

• Experience integrating systems (FastAPI, REST, Web Services, Swagger UI) and knowledge of relational and/or non-relational databases

• Basic knowledge of Java Spring Boot and microservices architecture

• Experience with Git, SonarQube, Bamboo, Jira, Confluence

• English communication skills at B2/C1

• Proactive and collaborative attitude

Benefits

• B2B contract

• Hybrid work model: 1 day per week in the Warsaw office

• Professional recruitment process with feedback regardless of the outcome