AI/ML Software Engineer (Python, AWS)

Quick Facts

• Role: AI/ML Software Engineer

Description

Design, implement, and maintain AI/ML-based insurance applications aligned with business requirements and organizational technology standards. Build, train, and fine-tune ML models and deploy them to production on AWS. Integrate AI solutions with company systems (APIs and microservices) while collaborating in an Agile team.

Responsibilities

• Design, implement, and maintain AI/ML-powered insurance applications

• Build, train, and fine-tune ML models; deploy models to production on AWS

• Integrate AI solutions with existing systems via API/microservices

• Work with the team in Agile methodology

Requirements

• Minimum 3 years of ML/AI project experience in production environments

• Very good Python knowledge

• Practical experience with PyTorch and/or TensorFlow, including fine-tuning pre-trained models

• MLOps knowledge

• AWS experience (SageMaker, Bedrock, ECS/EKS)

• Experience with system integration: API, REST, Web Services, FastAPI, Swagger UI

• Knowledge of Java Spring Boot and microservices architecture

• Experience designing IT solutions and familiarity with design patterns

• Knowledge of databases and integration tools

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

• English B2/C1 (spoken and written)

• Commitment, proactivity, and ability to work in a team

Benefits

Not specified in the provided posting.