AI Engineer (F/M)

The Role in Brief

Reporting directly to the Director of Engineering, your responsibilities will include (but not limited to):

• Deliver AI powered solutions driving both internal efficiencies and new customer value through data insights
• AI/ML Solution Implementation: Work closely with business leaders and data scientists to understand user needs and transition AI/ML prototypes into production-ready solutions
• Full-Scale Model Deployment: Design, develop, and deploy scalable machine learning models and algorithms to solve complex business problems.
• Data Integration: Ensure efficient collection and integration of data from diverse sources for training and validation of AI models.
• System Integration: Collaborate with tech teams to integrate AI/ML solutions seamlessly into existing systems and enhance data collection processes.
• Performance Optimization: Continuously monitor and optimize model performance to ensure responsiveness and scalability.
• Code Quality and Maintenance: Write clean, maintainable, and well-documented code, ensuring best practices in software development.
• Process Improvement: Leverage AI/ML to identify opportunities for process improvement and contribute to strategic projects aimed at enhancing business performance and competitiveness.
• Change Management and Adoption: Ensure successful adoption of AI/ML solutions by managing organizational change, assisting with user training, and conducting follow-up post implementation to support users and address any issues
• Champion an AI-first mindset by promoting the use of AI tools and technologies in day-to-day operations, encouraging experimentation and adoption of AI-driven solutions to improve efficiency, strengthen processes, and elevate service quality.

Your profile

We are currently hiring for two positions and welcome candidates who meet the following:

• Experience level: From junior profiles to candidates with up to 5 years’ relevant professional experience.
• You have recently completed a V.I.E. program or wish to undertake one.
• Solid understanding and practical experience with AI/ML technologies, data handling, and system integration.
• Strong problem-solving skills, with the ability to work collaboratively in a multicultural and fast-moving environment.
• Fluent in English; additional languages are a plus.
• A genuine enthusiasm for Artificial Intelligence and its practical applications in operations, quality control, or client management; experience leveraging AI tools to improve productivity and decision-making is a strong plus.