Machine Learning Engineer

• Build and contribute to RAG system components under senior guidance, with growing autonomy
• Write tests and help build evaluation harnesses
• Write production code across AI, backend services, and data pipelines
• Integrate AI components into backend services and RESTful APIs
• Support deployment of containerized systems to AWS using CI/CD
• Contribute to documentation, runbooks, and client handover materials
• Participate in technical discussions and architectural decisions
• Support model evaluation and investigate and improve failure modes
• Take increasing ownership of components and technical decisions

Junior AI/ML Engineer, GenAI, AWS

• Develop full-stack machine learning models, including binary classification and regression, for financial crime detection and prevention during transaction processing and client onboarding
• Gather requirements, prototype solutions, and deploy models in production
• Own and evolve the Dynamic Risk Score across all markets, scoring the full client base daily
• Manage transaction rules with ML-driven detection and optimize performance and alert volume
• Establish continuous production monitoring for model and rule performance
• Develop a champion-challenger framework to keep the best-performing model live in production
• Participate in infrastructure development for ML model operationalization and inter-service interactions
• Serve and infer models of varying complexity

Machine Learning Engineer jobs in Serbia

Junior AI/ML Engineer, GenAI, AWS

Senior Machine Learning Engineer