AI Engineer

• Design, develop, and deploy AI models and solutions to address complex business and technical problems, handling every step of the end-to-end pipeline from data ingestion to monitoring
• Contribute to establishing MLOps practices for model lifecycle management, monitoring, and retraining
• Conduct feasibility studies, prototyping, and benchmarking of AI solutions
• Optimize models for performance, scalability, cost efficiency, and compliance with data governance standards
• Collaborate with data engineers and software developers to ensure seamless integration of AI models into production systems
• Follow and propagate best practices for AI development, including code quality, reproducibility, and documentation
• Provide technical guidance to adjacent roles within project teams (e.g. devops, QA’s, …)
• Engage both in pre-sales calls with potential clients as well as in support calls with existing clients
• Ensure responsible AI practices, including fairness, transparency, and explainability in model design and deployment

AI Engineer

Lead Applied AI Engineer

Agentic AI Engineer

Senior AI Developer

AI Architect

AI Engineer