AI & Process Digitalisation Specialist

Reposted 5 Days Ago
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Rīga, LVA
In-Office
Mid level
Industrial • Manufacturing
The Role
Design, implement and maintain AI and machine-learning solutions to optimise Riga operations. Analyse large datasets, integrate models with IT infrastructure, select frameworks, collaborate with operations, monitor and continuously improve deployed models and automate business processes.
Summary Generated by Built In
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

    #LI-IK1

    Skills Required

    • 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 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
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    The Company
    15,000 Employees
    Year Founded: 1897

    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.

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