Develop, implement, and optimize machine learning and AI models, with a strong emphasis on large language models (LLMs)
Build and deploy intelligent agents using low-code environments such as Microsoft Copilot Studio
Implement automation solutions with platforms like Power Automate to streamline workflows and integrate AI capabilities
Contribute to high-code AI development using Azure AI Foundry (preferred)
Collaborate with data scientists, domain experts, and IT teams to translate business needs into technical solutions
Ensure high standards of data quality, security, governance, and compliance
Support the design of scalable AI architectures, including modular agentic systems
Maintain documentation, testing, monitoring, and continuous improvement of AI systems
Stay up to date on emerging AI technologies and industry trends

Strong knowledge of machine learning, AI, and LLM-based architectures
Experience in data science workflows (data preparation, model training, evaluation, and deployment)
Proficient Python programming skills and familiarity with common ML/AI libraries
Experience with low-code AI agent development (Copilot Studio) and automation tools (Power Automate)
Strong plus: experience with high-code AI platforms such as Azure AI Foundry
Experience with cloud-based AI systems (Azure ecosystem preferred)
Ability to translate business requirements into technical solutions
Strong analytical and problem-solving mindset
Ability to structure complex problems and design scalable AI solutions
Clear communication with technical and non-technical stakeholders
Team player with the ability to collaborate across organizational boundaries
Curiosity, adaptability, and a willingness to learn emerging AI technologies
Reliable, self-driven, and solution-oriented work ethic

AI & Digitalization Engineer — 20 hours/week

Key skills