AI Engineer
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What You'll Do
Design and implement ML pipelines for training, evaluation, and deployment
Optimize model inference for cloud, edge, and on-premise environments
Develop and maintain model serving infrastructure
Build RAG pipelines and LLM-based applications
Implement techniques for privacy-preserving ML
Create tools for automated model monitoring and retraining
What You Bring
3+ years of experience in machine learning engineering
Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow)
Experience with MLOps—model versioning, experiment tracking, deployment
Understanding of LLMs, RAG, and modern NLP techniques
Familiarity with Docker, Kubernetes, and cloud infrastructure
Bonus Points
Experience with edge deployment (ONNX, TensorRT, Core ML)
Background in computer vision or structured data ML
Contributions to open-source ML projects
Experience with privacy-preserving ML techniques
What We Offer
Competitive salary and benefits
Office in Belgium with flexibility as we grow
Learning budget for conferences, courses, and books
Sovereign machines, broad tooling — built for what matters
Our Culture Ownership & Impact
Your work directly shapes our product and company direction. No bureaucracy, just impact.
Learn & Grow
Work with cutting-edge AI/ML technologies. We invest in your growth and encourage experimentation.
Together First
We're building our core team and believe great things happen when we're in the same room. Flexibility grows as we do.
Work-Life Balance
Sustainable pace, flexible hours, and respect for your personal time. No burnout culture here.
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