Koda Staff
Artificial Intelligence Engineer
Koda StaffBelgium18 days ago
Full-timeRemote FriendlyConsulting

About the Role


We’re hiring a Technical AI Engineer to design, implement, and deploy production-grade ML systems for clients across the Brussels region. You’ll work on end-to-end AI delivery: data pipelines, model development, model serving, and cloud-based deployments.


What You’ll Do

  • Build and optimize ML models (NLP, CV, tabular, time series) using Python, PyTorch, TensorFlow, scikit-learn.
  • Design and implement ETL pipelines, data transformations, and feature engineering workflows.
  • Develop API-based model serving (FastAPI, Flask) and deploy using Docker, Kubernetes, or managed cloud services.
  • Work with AWS, Azure, or GCP to set up training environments, model registries, and monitoring.
  • Implement CI/CD for ML (MLflow, DVC, GitHub Actions, Azure ML, SageMaker).
  • Integrate models into existing client systems with a strong focus on performance, scalability, and reliability.
  • Conduct code reviews, write maintainable production code, and follow engineering best practices.
  • Collaborate directly with clients to define architectures and technical requirements.


Your Profile

  • 2+ years in AI/ML engineering or applied machine learning.
  • Strong Python engineering skills (OOP, testing, clean code).
  • Experience with ML frameworks (PyTorch/TensorFlow) and data tooling (Pandas, Spark, SQL).
  • Knowledge of containerization (Docker) and orchestration (Kubernetes or ECS).
  • Familiar with cloud ML stacks: Azure ML, SageMaker, Vertex AI, or equivalent.
  • Understanding of MLOps principles: model tracking, versioning, monitoring, drift detection.
  • Ability to translate solution architecture into clean, deployable production pipelines.
  • Fluent in English; Dutch or French is a plus.


Why Join

  • Work on technically challenging AI projects across multiple industries.
  • Exposure to advanced cloud/ML architectures and modern tooling.
  • Engineering-driven consulting culture with strong autonomy.
  • Hybrid flexibility and continuous training opportunities.


Interested?

Let’s talk. Send your CV or reach out for more technical details.

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