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Information Technology Architect
Posted 4 days 4 hours ago by Koda Staff
Permanent
Not Specified
Other
Brussel, Belgium
Job Description
Freelance AI Architect - Brussels (Onsite/Hybrid)
Duration: 18months
Location: Brussels, Belgium
Start Date: ASAP / Flexible
Languages: English (Dutch or French is a plus)
About the Role
Our client, a leading technology company based in Brussels, is seeking a seasoned AI Architect to lead the design and implementation of enterprise-grade AI solutions. As a freelance expert, you will bridge the gap between business needs and technical implementation, shaping the future of AI within the organization.
Key Responsibilities
- Define and drive the AI architecture strategy aligned with business goals
- Design scalable AI and ML systems, leveraging cloud platforms (Azure, AWS, or GCP)
- Collaborate with data scientists, ML engineers, and business stakeholders
- Select and evaluate AI/ML frameworks, tools, and platforms
- Ensure AI models are production-ready, ethical, and explainable
- Define data requirements, model pipelines, and integration patterns
- Monitor and optimize deployed models for performance, accuracy, and scalability
- Provide technical leadership and mentoring to internal teams
Required Skills & Experience
- Proven experience as an AI/ML Architect or Lead AI Engineer
- Strong knowledge of AI/ML principles, model lifecycle, and MLOps best practices
- Hands-on experience with cloud services (Azure ML, AWS SageMaker, GCP Vertex AI)
- Proficient in Python and common ML libraries (TensorFlow, PyTorch, Scikit-learn)
- Familiarity with data engineering workflows and tools (Spark, Airflow, Databricks, etc.)
- Experience with GenAI, LLMs, or NLP is a strong plus
- Solid understanding of model governance, compliance, and responsible AI principles
- Excellent communication skills and stakeholder management abilities
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or similar
Nice to Have
- Experience with vector databases and RAG (Retrieval-Augmented Generation)
- Familiarity with Kubernetes and containerized ML workloads
- Prior experience working in a consulting or freelance setup
- Knowledge of European data privacy regulations (e.g., GDPR)