Job 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. 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
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 Tensor.
Flow, Py. Torch 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