About this role
Select which cookies you accept Strictly necessary Data & Engineering · TBAuctions | Amsterdam · Hybrid Machine Learning Engineer Apply for this job We usually respond within a week At TBAuctions, we are committed to building intelligent auctioning platform for our brands. We are seeking a Machine Learning Engineer to join our team with a primary focus on building machine learning models, AI agents, and deploying them into production environments. The ideal candidate will have a strong background in data science, machine learning, AI engineering, and software engineering to effectively translate models into scalable solutions. What you will do Machine Learning Model Development: - Develop and implement machine learning models to address business challenges. - Conduct data analysis, feature engineering, and model selection to optimize performance. Model Productionization: - Deploy machine learning models into production systems for real-time applications. - Serve models via API deployment as scalable microservices, containerized and orchestrated with Kubernetes and Azure Kubernetes Service (AKS). - Collaborate with software engineers to integrate models into existing infrastructure. AI Agent Deployment: - Build, serve, deploy, evaluate and monitor production-grade AI agents. (LangGraph, RAG, MLFlow and FastAPI). Performance Monitoring, Evaluation and Optimization: - Monitor model performance in production, investigate drift, and iterate to improve evaluation metrics. - Conduct A/B testing and validation to assess model impact and reliability. Cross-functional Collaboration: - Work closely with cross-functional teams to understand business requirements and translate them into technical solutions. - Communicate complex technical concepts to non-technical stakeholders effectively. Documentation and Reporting: - Create reproducible, versioned documentation of modeling development, experiments, and results. - Pro...