ML Engineer, LLM

More than 250 employees work on the product, from search ranking to fraud detection. Our engineering, trust and safety, and customer support teams work across offices in Brussels and several other countries.

Position summary

We are adding an ML Engineer, LLM to our ML Platform team. The ML Platform team trains and serves models that run on every customer request. We need someone who cares about latency as much as accuracy. Hybrid, with three days a week in our Ghent office.

In this role you will

• Maintain feature pipelines and a feature store such as Feast or Tecton
• Set up evaluation harnesses and regression tests for model quality
• Monitor models for drift, data quality issues and latency regressions
• Develop RAG pipelines with embeddings, vector stores (pgvector, Pinecone, Weaviate) and rerankers
• Document model cards, data sources and known failure modes
• Cut inference cost with quantization, batching and caching
• Track experiments, artifacts and versions in MLflow or Weights & Biases

Required qualifications

• 3+ years of software engineering experience, with at least two spent on ML systems in production
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data
• Familiarity with Docker, Kubernetes and a cloud ML platform (SageMaker, Vertex AI, Azure ML)
• Strong Python and solid engineering habits (testing, packaging, code review)
• Comfortable with SQL and large-scale data processing in Spark or Ray

Preferred

• Recommendation or ranking systems at scale
• CUDA or Triton kernel experience
• Published papers or open source ML contributions
• Computer vision background (OpenCV, detection, segmentation)

Compensation: €6,200-€7,800/month

Benefits

• Pension scheme
• 25 annual leave days
• Travel allowance
• 13th month salary
• 30% ruling for eligible candidates

Please submit your CV in English.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Weaverstead HQ.