Machine Learning Engineer

TBAuctions; Amsterdam; On-site; EUR 80,000 - 95,000; Full time

Benefits offered by this job

Bonus scheme

Pension scheme

25 vacation days

Laptop and iPhone

Training opportunities

Job summary

TBAuctions is seeking an experienced Machine Learning Engineer to build and deploy ML models and AI agents for production use. You will work closely with software engineers to translate models into scalable microservices, APIs, and real-time applications.

You will lead data analysis, feature engineering, and model evaluation, ensuring performance and reliability. The role emphasizes collaboration, documentation, and communicating complex concepts to stakeholders.

Qualifications

• 7+ years of industry experience in ML/AI engineering or similar roles.
• Master's degree in Computer Science, Statistics, Mathematics, or related field.
• Proven experience deploying ML models in production environments.
• Strong knowledge of API deployment and model serving with containerization.
• Experience building AI agents and real-time, scalable solutions.

Responsibilities

• Develop and deploy machine learning models to address business challenges.
• Perform data analysis, feature engineering, and model selection to optimize performance.
• Deploy models into production systems as scalable microservices with Kubernetes/AKS.
• Build and deploy production-grade AI agents (LangGraph, RAG, MLflow, FastAPI).
• Monitor model performance, detect drift, and iterate to improve metrics.
• Collaborate with software engineers and communicate with non-technical stakeholders.

Skills

Python

Pyspark

API design

Data analysis

Education

Master's degree in CS/Statistics/Math

Tools

Kubernetes

AKS

FastAPI

MLflow

TensorFlow

PyTorch

Job description

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