Machine Learning Engineer

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.

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.
  (Lang Graph, 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.

• Produce reports and presentations that communicate methods, findings, and recommendations.

• 7+ years of industry experience

• Master's in Computer Science, Statistics, Mathematics, or related field

• Proven experience in developing and deploying machine learning models in production environments

• Knowledge of API deployment and model serving, including containerization and orchestration with Kubernetes and Azure Kubernetes Service (AKS)

• Proven organizational and project management skills

• Expert in programming languages such as Python and Pyspark

• Strong understanding of data manipulation, statistical analysis, and machine learning algorithms (MLlib, Scikit-learn, Tensor Flow/Pytorch, MLflow)

• Experience building AI agents and components such as memory, context engineering, retrieval, and orchestration, including multimodal retrieval systems/architecture.

• Excellent communication skills and ability to work in a collaborative team environment

• Familiarity with event-driven architecture and hands-on experience with serving ML models as microservices

• Experienced with recommender systems at scale

• Experienced in working on high-load, real-time AI solution

• Experience with a programming language such as Java or Kotlin.

• Independent and varied role within an entrepreneurial and innovative organization

• Modern data stack (FastAPI, Databricks, Airflow, DBT, PowerBI)

• A gross yearly salary of € 80.000 - € 95.000 (including holiday allowance), depending on experience

• Bonus scheme

• Pension scheme

• 25 vacation days

• Laptop and iPhone

• Training opportunities

• Working in a team of professionals, where hard work is well combined with humor