AI Engineer

SeeMe.ai; Belgique; À distance; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Office in Belgium

Learning budget

Résumé du poste

SeeMe.ai is seeking a Machine Learning Engineer to own end-to-end ML pipelines, from training to deployment, across cloud, edge, and on‑prem environments.

You will advance RAG pipelines, model serving, and privacy-preserving techniques while leveraging Python and popular ML frameworks. The role favors production ML experience and practical system-building skills.

Qualifications

• 3+ years of experience in machine learning engineering.
• Strong Python skills and 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.

Responsabilités

• 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.

Connaissances

Python

ML frameworks

MLOps

LLMs & RAG

Docker & Kubernetes

Cloud infra

Outils

Docker

Kubernetes

ONNX

TensorRT

Description du poste

We're building a sovereign AI platform that puts control back in the hands of users. You'll work on the full AI stack—from model fine-tuning and RAG pipelines to inference optimization and deployment at scale.You should be comfortable navigating ambiguity, prototyping fast, and iterating based on real-world feedback. We care less about credentials and more about what you've built.Ideal if you've shipped ML systems in production, have opinions about LLM architectures, and get excited about making AI accessible and private.

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.