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 DescriptionIn 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
- 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
- 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
#LI-IK1
Skills Required
- Degree in Computer Science, Data Science, Artificial Intelligence, or an equivalent field
- Knowledge of machine learning, deep learning, and data analysis
- Proficiency in Python, R, or Java
- Experience with TensorFlow, PyTorch, or scikit-learn
- Familiarity with databases and cloud technologies such as Azure, AWS, or GCP
- Analytical mindset and structured, independent problem-solving approach
- Strong teamwork and communication skills
- Fluent English and Latvian
- Experience with generative AI, large language models, and prompt engineering
- Knowledge of MLOps and AI model deployment
- Background in data engineering or big data technologies
What We Do
Kronospan is a global manufacturer and distributor of wood‑based panels and value‑added products — including particleboard, MDF, OSB, laminate flooring, melamine‑faced boards and resins — supplying furniture, interior design and construction markets worldwide. Founded in 1897, the group operates many production sites across multiple countries and emphasizes sustainable use of wood residues and resource‑efficient manufacturing.
