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Glaston career site
Technology · Tampere, Finland · Hybrid Remote

(Senior) Machine Learning/AI Software Engineer

As a key member of our Automation & Software organization, you will play a pivotal role in designing, implementing, and optimizing cutting-edge machine learning and artificial intelligence solutions for glass processing machinery. Your work will directly contribute to the development of innovative products and services that leverage AI to solve complex problems and enhance user experiences.

You will be working in a cross-functional setup and cooperate with other software engineers and quality assurance engineers, as well as, with various internal stakeholders. As a Software Engineer, you ensure agreed content and quality are successfully delivered on time and cost. Moreover, you help your team to deliver on its goals by solving complex real-world engineering problems in your daily work. You can communicate effectively when analyzing, troubleshooting, and resolving issues together with other developers and stakeholders.

This is what your work is about:

  • Create and implement ML/AI algorithms to solve specific business problems
  • Collect, clean, and preprocess data for model training
  • Train and fine-tune ML models for optimal performance
  • Optimize models for scalability and efficiency
  • Stay updated on AI/ML advancements and apply them
  • Rigorously test and validate models
  • Ensure continued functionality of our application during maintenance and deployment of software

This is your preferred background:

  • Proven experience in developing and implementing machine learning algorithms and AI solutions. Experience with deep learning, neural networks, and natural language processing is a plus
  • Proficiency in programming languages such as Python, TensorFlow, or PyTorch
  • Strong understanding of data preprocessing, feature engineering, and model evaluation
  • Solid knowledge of software engineering principles and best practices
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker)
  • Strong communication skills in English to convey complex technical concepts to non-technical stakeholders
  • MSc. or BSc. in Computer Science, Machine Learning, AI, or a related field.

For more information please contact Olli Lehtinen, Senior Development Manager, Automation, olli.lehtinen@glaston.net or tel. +358505722457. Please apply by 6.10.2023.


Team
Technology
Role
Machine & Software Development
Locations
Tampere, Finland
Remote status
Hybrid Remote

Current job openings

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Tampere, Finland

There are many reasons why working at Glaston may be right for you. Here are just a few:

  • Grow with us.

    We continuously aim at bringing new technology solutions and innovations to the glass processing market. You have the opportunity to work together with the best experts in the field. We focus on a high level of know-how and enable you to develop an inspiring career path with us.

  • Seeing it through

    is one of our values. It can be seen in everything we do as trust and respect for one another. We invest in your wellbeing and development opportunities. We take our work seriously but give you flexibility and a relaxed atmosphere to do your job. 

  • Best customer experience

    For us, creating the best possible customer experience is what our work is all about. We have a passion for high-quality glass performance – and this can be seen in all we do. We’re proud to help glass processors reach their goals by supporting them with the most modern technology.

     

     

Our commitment. Your success.

We’re in the business of creating the finest glass production manufacturing technology with passion and pride.

About Glaston

We are a leading provider of glass processing technologies and services, responding globally to glass processing requirements within the architectural, automotive, solar energy equipment and display industries.

Founded in 1870
Coworkers 750
Turnover 182.7 MEUR (2021)
Technology · Tampere, Finland · Hybrid Remote

(Senior) Machine Learning/AI Software Engineer

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