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.

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.

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

What you bring

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, TensorFlow/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

Bonus Points

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.

What we offer you

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

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