Machine Learning Engineer

Poznan (Office), Poland

ROCKWOOL Group

Our stone wool insulation is a key component in fire-resilient buildings.

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We are seeking a Machine Learning Engineer position based in our Poznań location to join the R&D team.

 

Ready to help build a better future for generations to come?  

In an ever-changing, fast paced world, we owe it to ourselves and our future generations to live life responsibly.  At ROCKWOOL, we work relentlessly to enrich modern living through our innovative stone wool solutions.  

Join us and make a difference!  

Your future team:  

You will join our “Factory of the Future” team of specialists within Group R&D. We are a team of passionate, skilled and knowledgeable colleagues who develop & implement the newest technologies for stone wool production. The “Factory of the Future” team is recently established with the aim of upgrading our production facilities with best in class OT & IT Solutions. We are proud to be word leaders in our industry, and we work hard to stay in this position. 

We’re currently building Data Science Team and you would be a part of it.

What you will be doing:  

  • Develop ML models to prevent downtime in equipment.
  • Use ML to analyze data and improve process efficiency.
  • Design AI systems for automated product inspection.
  • Build ML pipelines for automated data processing.
  • Deploy ML models within existing industrial systems.
  • Support Data Science Team in creating robust and innovative AI solutions

What you bring:  

  • 2+ years of experience in machine learning engineering preferably for production Industry
  • Experience deploying machine learning models to production
  • Understanding of IT/OT convergence
  • Strong foundation in machine learning algorithms (classification, regression, clustering, etc.)
  • Expertise in machine learning libraries (TensorFlow, PyTorch)
  • Experience with deep learning architectures (CNNs, RNNs, etc.)
  • Ability to optimize and fine-tune machine learning models
  • Excellent understanding of model evaluation metrics

Tools and Technologies:

  • Machine learning libraries (TensorFlow, PyTorch)
  • Cloud platforms for model deployment (AWS SageMaker, Azure Machine Learning, GCP AI Platform)
  • Machine learning frameworks (Apache Spark, Hadoop)

What we offer:  

By joining our team, you become a part of the people-centric work environment of a Danish company. We offer you a competitive salary, permanent contract after the probation period, development package, team building events, activity-based office in Poznan’s city center in the new prestigious office building – Nowy Rynek. The building is recognized as a building without barriers, which means that it is fully adapted to the needs of people with disabilities. 

Our compensation package on employment contracts includes:    

  • Flexible Work Arrangements: up to 1 day per week of home office possible
  • Adaptable Hours: start your workday anytime between 7:00 AM and 9:00 AM
  • Home office subsidy 
  • Private Medical Care 
  • Multikafeteria MyBenefit 
  • Wellbeing program 
  • Extra Day Off for voluntary activities 

… and while in the office you can also use modern office space with beautiful view and high standard furniture, bicycle parking facilities & showers, chill-out rooms with PlayStation, football table, pool table, board games, subsidized canteen with delicious food & fruit. 

Interested?  

If you recognize yourself in this profile and challenge, we kindly invite you to apply with CV written in English.  

Who we are  

We are the world leader in stone wool solutions. Founded in 1937 in Denmark, we transform volcanic rock into safe, sustainable products that help people and communities thrive.  We are a global company with more than 12,200 employees, located in 40+ countries with 51 manufacturing facilities… all focused on one common purpose – to release the natural power of stone to enrich modern living.    

Sustainability is central to our business strategy.  ROCKWOOL was one of the first companies to commit to actively contributing to the United Nations Sustainable Development Goals (SDGs) framework and are actively committed to 11 SDGs, including SDG 14, Life Below Water.  Through our partnership with the One Ocean Foundation and in connection with our sponsorship of the ROCKWOOL Denmark SailGP team, we will help raise awareness around ocean health challenges in an effort to accelerate solutions to protect it.     

  

Diverse and Inclusive Culture  

We want all our people to feel valued, respected, included and heard.  We employ 79 different nationalities worldwide and are committed to providing equal opportunities to all employees, promote diversity, and work against all forms of discrimination among ROCKWOOL employees.  

At ROCKWOOL, you will experience a friendly team environment. Our culture is very important to us.  In fact, we refer to our culture as “The ROCKWOOL Way”.  This is the foundation in which we operate and is based upon our values of ambition, responsibility, integrity and efficiency.   

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Azure Classification Clustering Deep Learning Engineering GCP Hadoop Industrial Machine Learning ML models Model deployment Pipelines PyTorch R R&D SageMaker Spark TensorFlow

Perks/benefits: Career development Competitive pay Flex hours Gear Health care Startup environment Team events

Region: Europe
Country: Poland

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