AI & Process Digitalisation Specialist

Company Description

This is a full-time, on-site position in Riga (near Bolderāja)

We are the global leader in the production and distribution of wood products used in everything from furniture and flooring to timber-framed houses, building facades and construction. In doing so, we help to build a better world. Kronospan is focused on achieving operational excellence with relentless attention to safety and sustainability.

To support our continued growth and operational transformation, we are looking for an AI & Process Digitalisation Specialist to develop, implement and continuously improve AI and machine learning solutions across our Riga operations.

Job Description

In this pivotal role, you will drive digital transformation initiatives by leveraging artificial intelligence and process optimisation to enhance operational efficiency across the business.

Your responsibilities will be to:

• Develop, implement and optimise AI and machine learning solutions for our business processes
• Analyse large datasets to identify optimisation and efficiency opportunities
• Integrate AI systems into existing IT infrastructure
• Evaluate and select appropriate AI tools and frameworks
• Collaborate with operational departments to build data-driven solutions
• Monitor, maintain and continuously improve deployed AI models
• Support the automation of business processes through AI

Qualifications

• Degree in Computer Science, Data Science, Artificial Intelligence or equivalent
• Solid knowledge of machine learning, deep learning and data analysis
• Proficiency in Python, R or Java
• Experience with common frameworks such as TensorFlow, PyTorch or scikit-learn
• Familiarity with databases and cloud technologies (Azure, AWS or GCP)
• Analytical mindset with a structured, independent approach to problem-solving
• Strong team player with good communication skills
• Fluent English; Latvian
• Experience with Generative AI (LLMs, Prompt Engineering)
• Knowledge of MLOps and AI model deployment
• Background in Data Engineering or Big Data technologies

Additional Information

• Challenging, responsible role with real development opportunities
• Structured onboarding programme
• Collaborative working environment with flat hierarchies
• Subsidised canteen, free parking and EV charging stations on site

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